862 lines
27 KiB
BibTeX
862 lines
27 KiB
BibTeX
@book{AIMA4,
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author = {Russell, Stuart Jonathan and Norvig, Peter},
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title = {{Artificial Intelligence: A Modern Approach}},
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year = {2020},
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month = apr,
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isbn = {978-0-13461099-3},
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publisher = {Pearson},
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address = {London, England, UK},
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url = {https://books.google.com/books/about/Artificial_Intelligence.html?id=koFptAEACAAJ}
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}
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@book{AIMA4_AI,
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author = {Stuart J. Russell and Peter Norvig},
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title = {Artificial Intelligence: A Modern Approach},
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edition = {4th},
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year = {2020},
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publisher = {Pearson},
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isbn = {978-0134610993},
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url = {https://aima.cs.berkeley.edu/},
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bibsource = {ChatGPT},
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eval = {}
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}
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@article{Bittner1963,
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author = {Bittner, L.},
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title = {{L. S. Pontryagin, V. G. Boltyanskii, R. V. Gamkrelidze, E. F. Mishechenko, The Mathematical Theory of Optimal Processes. VIII + 360 S. New York/London 1962. John Wiley {\&} Sons. Preis 90/{\textendash}}},
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journal = {Zamm-zeitschrift Fur Angewandte Mathematik Und Mechanik},
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year = {1963},
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url = {https://www.semanticscholar.org/paper/L.-S.-Pontryagin%2C-V.-G.-Boltyanskii%2C-R.-V.-E.-F.-of-Bittner/7984b664bdfc1828050d1cb1a06d164a5fe64dd8}
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}
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@article{Brown2020Dec,
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author = {Brown, Richard E.},
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title = {{Donald O. Hebb and the Organization of Behavior: 17 years in the writing}},
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journal = {Molecular Brain},
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volume = {13},
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number = {1},
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year = {2020},
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month = dec,
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issn = {1756-6606},
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publisher = {Springer Nature},
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doi = {10.1186/s13041-020-00567-8},
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abstract = {The Organization of Behavior has played a significant part in the development of behavioural neuroscience for the
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last 70 years. This book introduced the concepts of the “Hebb synapse”, the “Hebbian cell assembly”and the “Phase
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sequence”. The most frequently cited of these is the Hebb synapse, but the cell assembly may be Hebb’s most
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important contribution. Even after 70 years, Hebb’s theory is still relevant because it is a general framework for
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relating behavior to synaptic organization through the development of neural networks. The Organization of
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Behavior was Hebb’s 40th publication. His first published papers in 1937 were on the innate organization of the
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visual system and he first used the phrase “the organization of behavior”in 1938. However, Hebb wrote a number
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of unpublished papers between 1932 and 1945 in which he developed the ideas published in The Organization of
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Behavior. Thus, the concept of the neural organization of behavior was central to Hebb’s thinking from the
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beginning of his academic career. But his thinking about the organization of behavior in 1949 was different from
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what it was between 1932 and 1937. This paper examines Hebb’s early ideas on the neural basis of behavior and
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attempts to trace the rather arduous series of steps through which he developed these ideas into the book that
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was published as The Organization of Behavior. Using the 1946 typescript and Hebb’s correspondence we can see a
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number of changes made in the book before it was published. Finally, a number of issues arising from the book,
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and the importance of the book today are discussed.}
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}
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@book{CIBook,
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author = {Fogel, David B. and Liu, Derong and Keller, James M.},
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title = {{Fundamentals of Computational Intelligence}},
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journal = {Wiley Online Library},
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year = {2016},
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month = jun,
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isbn = {978-1-11921434-2},
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doi = {10.1002/9781119214403}
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}
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@book{CI_book,
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author = {Ognjen Kukolj},
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title = {Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation},
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year = {2016},
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publisher = {Wiley},
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doi = {10.1002/9781119093306},
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isbn = {9781119093269}
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}
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@book{CI_survey,
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author = {James M. Keller and Derong Liu and David B. Fogel},
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title = {Fundamentals of Computational Intelligence: Fuzzy, Neural, and Evolutionary Computation},
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year = {2016},
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publisher = {IEEE Press / Wiley},
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isbn = {9781119214350}
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}
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@book{CIbook_AI,
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author = {Ognjen Kukolj},
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title = {Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation},
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year = {2016},
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publisher = {Wiley},
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doi = {10.1002/9781119093306},
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isbn = {9781119093269},
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bibsource = {ChatGPT},
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eval = {Messed up: author; Correct: title, year, publisher; Discrepant: isbn, doi}
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}
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@book{CIsurvey,
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author = {James M. Keller and Derong Liu and David B. Fogel},
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title = {Fundamentals of Computational Intelligence: Fuzzy, Neural, and Evolutionary Computation},
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year = {2016},
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publisher = {IEEE Press / Wiley},
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bibsource = {ChatGPT},
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isbn = {9781119214350}
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}
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@misc{CLIPS,
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author = {{NASA/JSC}},
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||
title = {CLIPS: C Language Integrated Production System},
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year = {1986},
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howpublished = {\url{https://www.clipsrules.net/}},
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bibsource = {ChatGPT},
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||
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}
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@article{CarpenterGrossberg1987ART1,
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||
author = {Gail A. Carpenter and Stephen Grossberg},
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title = {ART 1: Self-Organizing Pattern Recognition with a Stability-Plasticity Dilemma},
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journal = {Neural Networks},
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year = {1987},
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volume = {1},
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number = {1},
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pages = {71--102},
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doi = {10.1016/0893-6080(88)90020-3},
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bibsource = {ChatGPT}
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||
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}
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@article{CarpenterGrossberg1987ART2,
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author = {Gail A. Carpenter and Stephen Grossberg},
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title = {ART 2: Self-Organization of Stable Category Recognition Codes for Analog Input Patterns},
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journal = {Applied Optics},
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year = {1987},
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volume = {26},
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number = {23},
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pages = {4919--4930},
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doi = {10.1364/AO.26.004919},
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bibsource = {ChatGPT}
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}
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@article{Dasgupta1999AIS,
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author = {Dipankar Dasgupta},
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title = {An Overview of Artificial Immune Systems and Their Applications},
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journal = {Proceedings of GECCO Workshop on Artificial Immune Systems and Their Applications},
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year = {1999}
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}
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@book{DeCastroTimmis2002Book,
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author = {Leandro N. de Castro and Jamie Timmis},
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title = {Artificial Immune Systems: A New Computational Intelligence Approach},
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publisher = {Springer},
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series = {Natural Computing Series},
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year = {2002},
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isbn = {978-1-85233-594-6}
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}
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@article{DeCastroVonZuben2001aiNet,
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author = {Leandro N. de Castro and Fernando J. Von Zuben},
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title = {The aiNet: An Artificial Immune Network for Data Analysis},
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journal = {Proceedings of ICANN (LNCS)},
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year = {2001},
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volume = {2130},
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pages = {395--404},
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publisher = {Springer},
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doi = {10.1007/3-540-44668-0_58}
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}
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@article{DeCastroVonZuben2002Clonal,
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author = {Leandro N. de Castro and Fernando J. Von Zuben},
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title = {Learning and Optimization Using the Clonal Selection Principle},
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journal = {IEEE Transactions on Evolutionary Computation},
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year = {2002},
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volume = {6},
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number = {3},
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pages = {239--251},
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doi = {10.1109/TEVC.2002.1011539}
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}
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@article{EFSTaxonomy,
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author = {Oscar Cord{\'o}n and Francisco Herrera and Roberto Alcal{\'a} and Luis Magdalena},
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title = {Revisiting Evolutionary Fuzzy Systems: Taxonomy, Applications, and Challenges},
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journal = {Knowledge-Based Systems},
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volume = {80},
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pages = {109--121},
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year = {2015},
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doi = {10.1016/j.knosys.2015.01.013},
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bibsource = {ChatGPT}
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}
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@misc{EUAIAct,
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title = {Regulation (EU) 2024/1689 of the European Parliament and of the Council on Artificial Intelligence (AI Act)},
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howpublished = {Official Journal of the European Union, 12 July 2024},
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year = {2024},
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url = {https://eur-lex.europa.eu/eli/reg/2024/1689/oj},
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bibsource = {ChatGPT}
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}
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% --- Textbooks & Surveys
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@misc{EUAnnex,
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author = {{European Parliament and Council of the European Union}},
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title = {Artificial Intelligence Act -- Annex~I: Artificial Intelligence Techniques and Approaches},
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year = {2023},
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howpublished = {\url{https://artificialintelligenceact.eu/annex-i-artificial-intelligence-techniques-and-approaches/}},
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note = {Consolidated explanatory version accessed 2025-11-11},
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bibsource = {ChatGPT}
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}
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@misc{EU_AI_Act,
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title = {Regulation (EU) 2024/1689 of the European Parliament and of the Council on Artificial Intelligence (AI Act)},
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howpublished = {Official Journal of the European Union, 12 July 2024},
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||
year = {2024},
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url = {https://eur-lex.europa.eu/eli/reg/2024/1689/oj}
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||
}
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% --- Textbooks & Surveys
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||
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@article{FarmerPerelson1986,
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author = {J. Doyne Farmer and Norman H. Packard and Alan S. Perelson},
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title = {The immune system, adaptation, and machine learning},
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journal = {Physica D: Nonlinear Phenomena},
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year = {1986},
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volume = {22},
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number = {1-3},
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pages = {187--204},
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doi = {10.1016/0167-2789(86)90240-X}
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}
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@inproceedings{Forrest1994NSA,
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author = {Stephanie Forrest and Alan S. Perelson and Lawrence Allen and Rajesh Cherukuri},
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title = {Self–Nonself Discrimination in a Computer},
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booktitle = {Proceedings of the 1994 IEEE Symposium on Security and Privacy},
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year = {1994},
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pages = {202--212},
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doi = {10.1109/SECPRI.1994.305366}
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}
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@incollection{Franch2010Istar,
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||
author = {Xavier Franch and Lidia L{\'o}pez and Carlos Cares and Daniel Colomer},
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||
title = {The i* Framework for Goal-Oriented Modeling},
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||
booktitle = {Domain Engineering: Product Lines, Languages, and Conceptual Models},
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||
editor = {Iraide {Elorza} and others},
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publisher = {Springer},
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series = {Lecture Notes in Computer Science},
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volume = {dn},
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year = {2010},
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pages = {1--33},
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url = {https://core.ac.uk/download/pdf/46175391.pdf}
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||
}
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||
|
||
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||
@article{FuzzySurvey,
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||
author = {Alcala-Fdez, Jesus and Alonso, Jose M.},
|
||
title = {{A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends and Prospects}},
|
||
journal = {IEEE Trans. Fuzzy Syst.},
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||
volume = {24},
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||
number = {1},
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||
pages = {40--56},
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||
year = {2016},
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month = feb,
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issn = {1063-6706},
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||
publisher = {IEEE (Institute of Electrical and Electronics Engineers)},
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||
doi = {10.1109/TFUZZ.2015.2426212}
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||
}
|
||
|
||
@article{FuzzySurvey-AI-badcite,
|
||
author = {Jes{\'u}s Alcal{\'a}-Fdez and Jos{\'e} M. Alonso},
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||
title = {A Survey of Fuzzy Systems Software: Taxonomy, Trends, and Prospects},
|
||
journal = {Information Sciences},
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||
volume = {377},
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pages = {233--257},
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||
year = {2017},
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||
doi = {10.1016/j.ins.2016.10.040},
|
||
bibsource = {ChatGPT},
|
||
eval = {Wrong journal, year, volume, pages}
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||
}
|
||
|
||
@inproceedings{Greensmith2005DCA,
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author = {Julie Greensmith and Uwe Aickelin and Steve Cayzer},
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||
title = {Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection},
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||
booktitle = {ICARIS 2005: Artificial Immune Systems},
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series = {LNCS},
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volume = {3627},
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pages = {153--167},
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publisher = {Springer},
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year = {2005},
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||
doi = {10.1007/11536444_12}
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||
}
|
||
|
||
@article{Greensmith2007DCA,
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||
author = {Julie Greensmith and Uwe Aickelin and Jamie Twycross},
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||
title = {Articulation and Clarification of the Dendritic Cell Algorithm},
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||
journal = {Proceedings of ICARIS},
|
||
year = {2006}
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||
}
|
||
|
||
@article{Grossberg1976InstarOutstar,
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author = {Stephen Grossberg},
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||
title = {Adaptive Pattern Classification and Universal Recoding},
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journal = {Biological Cybernetics},
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year = {1976},
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volume = {23},
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pages = {121--134},
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doi = {10.1007/BF00344744},
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bibsource = {ChatGPT}
|
||
}
|
||
|
||
@article{Hart1968AStar,
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||
author = {Peter E. Hart and Nils J. Nilsson and Bertram Raphael},
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title = {A Formal Basis for the Heuristic Determination of Minimum Cost Paths},
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journal = {IEEE Transactions on Systems Science and Cybernetics},
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year = {1968},
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volume = {4},
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number = {2},
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pages = {100--107},
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doi = {10.1109/TSSC.1968.300136},
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||
bibsource = {ChatGPT}
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||
}
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||
|
||
@book{Hebb1949,
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author = {Hebb, Donald Olding},
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title = {{The Organization of Behavior: A Neuropsychological Theory}},
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year = {1949},
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isbn = {978-0-47136727-7},
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||
publisher = {Wiley},
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||
address = {Hoboken, NJ, USA},
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||
url = {https://books.google.com/books/about/The_Organization_of_Behavior.html?id=dZ0eDiLTwuEC}
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||
}
|
||
|
||
@article{Hebb1949_AI,
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||
author = {Donald O. Hebb},
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||
title = {The Organization of Behavior: A Neuropsychological Theory},
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journal = {Wiley},
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||
year = {1949},
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||
bibsource = {ChatGPT}
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||
}
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||
|
||
@article{HintonSejnowski1985BM,
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author = {Geoffrey E. Hinton and Terrence J. Sejnowski},
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title = {Learning and Relearning in {B}oltzmann Machines},
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journal = {Parallel Distributed Processing},
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year = {1986},
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volume = {1},
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pages = {282--317},
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bibsource = {ChatGPT}
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||
}
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||
@book{Holland1975Adaptation,
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author = {John H. Holland},
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||
title = {Adaptation in Natural and Artificial Systems},
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year = {1975},
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publisher = {University of Michigan Press},
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||
bibsource = {ChatGPT}
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||
}
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||
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||
@article{HopfieldTank1985TSP,
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||
author = {John J. Hopfield and David W. Tank},
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title = {``Neural'' Computation of Decisions in Optimization Problems},
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||
journal = {Biological Cybernetics},
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||
year = {1985},
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volume = {52},
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pages = {141--152},
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doi = {10.1007/BF00339943},
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||
bibsource = {ChatGPT}
|
||
}
|
||
|
||
@standard{ISO22989,
|
||
title = {Information technology — Artificial intelligence — Concepts and terminology},
|
||
organization = {ISO/IEC},
|
||
number = {ISO/IEC 22989:2022},
|
||
year = {2022},
|
||
url = {https://www.iso.org/standard/74296.html},
|
||
bibsource = {ChatGPT}
|
||
}
|
||
|
||
@standard{ISO23053,
|
||
title = {Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)},
|
||
organization = {ISO/IEC},
|
||
number = {ISO/IEC 23053:2022},
|
||
year = {2022},
|
||
url = {https://www.iso.org/standard/74438.html},
|
||
bibsource = {ChatGPT},
|
||
eval = {TBD}
|
||
|
||
}
|
||
|
||
@article{Kalman1960,
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||
author = {Kalman, R. E.},
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||
title = {{A New Approach to Linear Filtering and Prediction Problems}},
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journal = {J. Basic Eng.},
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volume = {82},
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number = {1},
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||
pages = {35--45},
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||
year = {1960},
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||
month = mar,
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||
issn = {0021-9223},
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||
publisher = {American Society of Mechanical Engineers Digital Collection},
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||
doi = {10.1115/1.3662552}
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||
}
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||
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||
@article{Kalman1960_AI,
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||
author = {R. E. Kalman},
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||
title = {A New Approach to Linear Filtering and Prediction Problems},
|
||
journal = {Journal of Basic Engineering},
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||
volume = {82},
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||
number = {1},
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||
pages = {35--45},
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||
year = {1960},
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||
doi = {10.1115/1.3662552},
|
||
bibsource = {ChatGPT},
|
||
eval = {Basic info and DOI correct, lacked month and publisher fields}
|
||
|
||
|
||
}
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||
|
||
@inproceedings{KennedyEberhart1995PSO,
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author = {James Kennedy and Russell Eberhart},
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title = {Particle Swarm Optimization},
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booktitle = {Proceedings of IEEE International Conference on Neural Networks},
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year = {1995},
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pages = {1942--1948},
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doi = {10.1109/ICNN.1995.488968},
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||
bibsource = {ChatGPT},
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||
eval = {}
|
||
}
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||
|
||
@article{KnillPouget2004,
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author = {Knill, David C. and Pouget, Alexandre},
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title = {{The Bayesian brain: the role of uncertainty in neural coding and computation}},
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journal = {Trends Neurosci.},
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volume = {27},
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number = {12},
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pages = {712--719},
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year = {2004},
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month = dec,
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issn = {0166-2236},
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||
publisher = {Elsevier Current Trends},
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||
doi = {10.1016/j.tins.2004.10.007}
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||
}
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||
|
||
@article{KnillPouget2004_AI,
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||
author = {David C. Knill and Alexandre Pouget},
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||
title = {The Bayesian brain: the role of uncertainty in neural coding and computation},
|
||
journal = {Trends in Neurosciences},
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||
volume = {27},
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||
number = {12},
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||
pages = {712--719},
|
||
year = {2004},
|
||
doi = {10.1016/j.tins.2004.10.007},
|
||
eval = {Basic info and DOI correct, missing month and publisher},
|
||
bibsource = {ChatGPT},
|
||
eval = {}
|
||
}
|
||
|
||
@book{Koza1992GP,
|
||
author = {John R. Koza},
|
||
title = {Genetic Programming: On the Programming of Computers by Means of Natural Selection},
|
||
year = {1992},
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||
publisher = {MIT Press},
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||
isbn = {978-0262111706},
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||
bibsource = {ChatGPT},
|
||
eval = {}
|
||
}
|
||
|
||
@article{Mamdani1975FLC,
|
||
author = {Ebrahim H. Mamdani},
|
||
title = {An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller},
|
||
journal = {International Journal of Man-Machine Studies},
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||
year = {1975},
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||
volume = {7},
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||
number = {1},
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||
pages = {1--13},
|
||
doi = {10.1016/S0020-7373(75)80002-2},
|
||
bibsource = {ChatGPT},
|
||
eval = {}
|
||
}
|
||
|
||
@inproceedings{McDermott1982XCON,
|
||
author = {John McDermott},
|
||
title = {R1 (XCON) at {D}igital {E}quipment {C}orporation},
|
||
booktitle = {Proceedings of AAAI},
|
||
year = {1982},
|
||
bibsource = {ChatGPT},
|
||
eval = {}
|
||
}
|
||
|
||
@techreport{NISTAI2001,
|
||
author = {Theofanos, Mary Frances and Choong, Yee-Yin and Jensen, Theodore},
|
||
title = {{AI Use Taxonomy: A Human-Centered Approach}},
|
||
journal = {NIST},
|
||
year = {2024},
|
||
month = mar,
|
||
url = {https://www.nist.gov/publications/ai-use-taxonomy-human-centered-approach}
|
||
}
|
||
|
||
@techreport{NISTAI2001_AI,
|
||
author = {Mary F. Theofanos and others},
|
||
title = {AI Use Taxonomy: A Human-Centered Approach},
|
||
institution = {National Institute of Standards and Technology},
|
||
number = {NIST AI 200-1},
|
||
year = {2024},
|
||
month = {March},
|
||
url = {https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.200-1.pdf},
|
||
doi = {10.6028/NIST.AI.200-1},
|
||
bibsource = {ChatGPT},
|
||
eval = {Missing other authors, can't check various fields}
|
||
}
|
||
|
||
@techreport{NISTRMF,
|
||
author = {Elham Tabassi and others},
|
||
title = {Artificial Intelligence Risk Management Framework (AI RMF 1.0)},
|
||
institution = {National Institute of Standards and Technology},
|
||
number = {NIST AI 100-1},
|
||
year = {2023},
|
||
month = {January},
|
||
url = {https://nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf},
|
||
doi = {10.6028/NIST.AI.100-1},
|
||
bibsource = {ChatGPT},
|
||
eval = {Pretty good, hard to verify details}
|
||
}
|
||
|
||
@techreport{NIST_AI2001,
|
||
author = {Mary F. Theofanos and others},
|
||
title = {AI Use Taxonomy: A Human-Centered Approach},
|
||
institution = {National Institute of Standards and Technology},
|
||
number = {NIST AI 200-1},
|
||
year = {2024},
|
||
month = {March},
|
||
url = {https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.200-1.pdf},
|
||
doi = {10.6028/NIST.AI.200-1}
|
||
}
|
||
|
||
@techreport{NIST_RMF,
|
||
author = {Elham Tabassi and others},
|
||
title = {Artificial Intelligence Risk Management Framework (AI RMF 1.0)},
|
||
institution = {National Institute of Standards and Technology},
|
||
number = {NIST AI 100-1},
|
||
year = {2023},
|
||
month = {January},
|
||
url = {https://nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf},
|
||
doi = {10.6028/NIST.AI.100-1}
|
||
}
|
||
|
||
@inproceedings{Nilsson1980STRIPS,
|
||
author = {Nils J. Nilsson},
|
||
title = {Principles of Artificial Intelligence (STRIPS overview)},
|
||
booktitle = {Morgan Kaufmann},
|
||
year = {1980},
|
||
bibsource = {ChatGPT},
|
||
eval = {}
|
||
}
|
||
|
||
@techreport{OECDClass,
|
||
title = {OECD Framework for the Classification of AI Systems},
|
||
institution = {OECD},
|
||
year = {2022},
|
||
url = {https://oecd.ai/en/classification},
|
||
bibsource = {ChatGPT},
|
||
eval = {}
|
||
}
|
||
|
||
@techreport{OECD_Class,
|
||
title = {OECD Framework for the Classification of AI Systems},
|
||
institution = {OECD},
|
||
year = {2022},
|
||
url = {https://oecd.ai/en/classification}
|
||
}
|
||
|
||
@article{Oja1982,
|
||
author = {Oja, Erkki},
|
||
title = {{Simplified neuron model as a principal component analyzer}},
|
||
journal = {J. Math. Biol.},
|
||
volume = {15},
|
||
number = {3},
|
||
pages = {267--273},
|
||
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|
||
month = nov,
|
||
issn = {1432-1416},
|
||
publisher = {Springer-Verlag},
|
||
doi = {10.1007/BF00275687}
|
||
}
|
||
|
||
@article{Oja1982_AI,
|
||
author = {Erkki Oja},
|
||
title = {A Simplified Neuron Model as a Principal Component Analyzer},
|
||
journal = {Journal of Mathematical Biology},
|
||
volume = {15},
|
||
number = {3},
|
||
pages = {267--273},
|
||
year = {1982},
|
||
doi = {10.1007/BF00275687},
|
||
eval = {Correct: all; Missing: publisher},
|
||
bibsource = {ChatGPT},
|
||
eval = {}
|
||
}
|
||
|
||
|
||
@book{Pontryagin1962,
|
||
author = {L. S. Pontryagin and V. G. Boltyanskii and R. V. Gamkrelidze and E. F. Mishchenko},
|
||
title = {The Mathematical Theory of Optimal Processes},
|
||
publisher = {Wiley Interscience},
|
||
year = {1962},
|
||
eval = {Actually closer than several current sources online; missing "Wiley" from "Wiley Interscience"},
|
||
bibsource = {ChatGPT},
|
||
eval = {}
|
||
}
|
||
|
||
|
||
@book{Pontryagin2018May,
|
||
author = {Pontryagin, L. S.},
|
||
title = {{Mathematical Theory of Optimal Processes}},
|
||
year = {2018},
|
||
month = may,
|
||
isbn = {978-0-20374931-9},
|
||
publisher = {Taylor {\&} Francis},
|
||
address = {Andover, England, UK},
|
||
doi = {10.1201/9780203749319}
|
||
}
|
||
|
||
@article{Price1970,
|
||
author = {Price, George R.},
|
||
title = {{Selection and Covariance}},
|
||
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|
||
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||
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||
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||
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|
||
issn = {1476-4687},
|
||
publisher = {Nature Publishing Group},
|
||
doi = {10.1038/227520a0}
|
||
}
|
||
|
||
@article{Price1970_AI,
|
||
author = {George R. Price},
|
||
title = {Selection and Covariance},
|
||
journal = {Nature},
|
||
volume = {227},
|
||
pages = {520--521},
|
||
year = {1970},
|
||
doi = {10.1038/227520a0},
|
||
eval = {Missing: month, publisher},
|
||
bibsource = {ChatGPT},
|
||
eval = {}
|
||
}
|
||
|
||
@article{Robinson1965Resolution,
|
||
author = {Robinson, J. A.},
|
||
title = {{A Machine-Oriented Logic Based on the Resolution Principle}},
|
||
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|
||
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|
||
}
|
||
|
||
@article{Robinson1965Resolution_AI,
|
||
author = {J. A. Robinson},
|
||
title = {A Machine-Oriented Logic Based on the Resolution Principle},
|
||
journal = {Journal of the ACM},
|
||
volume = {12},
|
||
number = {1},
|
||
pages = {23--41},
|
||
year = {1965},
|
||
doi = {10.1145/321250.321253},
|
||
eval = {Missing: month, issn, publisher},
|
||
bibsource = {ChatGPT},
|
||
eval = {}
|
||
}
|
||
|
||
@article{Rumelhart1986Backprop,
|
||
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|
||
title = {Learning Representations by Back-Propagating Errors},
|
||
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|
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||
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|
||
bibsource = {ChatGPT},
|
||
eval = {}
|
||
}
|
||
|
||
@book{SuttonBarto2018,
|
||
author = {Richard S. Sutton and Andrew G. Barto},
|
||
title = {Reinforcement Learning: An Introduction},
|
||
edition = {2nd},
|
||
year = {2018},
|
||
publisher = {MIT Press},
|
||
url = {https://mitpress.mit.edu/9780262039246/reinforcement-learning/},
|
||
isbn = {9780262039246}
|
||
}
|
||
|
||
@book{SuttonBarto2018_AI,
|
||
author = {Richard S. Sutton and Andrew G. Barto},
|
||
title = {Reinforcement Learning: An Introduction},
|
||
edition = {2nd},
|
||
year = {2018},
|
||
publisher = {MIT Press},
|
||
url = {https://mitpress.mit.edu/9780262039246/reinforcement-learning/},
|
||
isbn = {9780262039246},
|
||
eval = {Mismatch on publisher, year},
|
||
bibsource = {ChatGPT},
|
||
eval = {}
|
||
}
|
||
|
||
@misc{SuttonBarto2025,
|
||
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|
||
title = {{Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning series)}},
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||
year = {2025},
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||
month = nov,
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||
isbn = {978-0-26203924-6},
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||
publisher = {Bradford Books},
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||
note = {[Online; accessed 12. Nov. 2025]},
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||
url = {https://www.amazon.com/Reinforcement-Learning-Introduction-Adaptive-Computation/dp/0262039249},
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||
bibsource = {Amazon.com book page}
|
||
}
|
||
|
||
@article{Tabassi2023Jan,
|
||
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|
||
title = {{Artificial Intelligence Risk Management Framework (AI RMF 1.0)}},
|
||
journal = {NIST},
|
||
year = {2023},
|
||
month = jan,
|
||
url = {https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10},
|
||
bibsource = {NIST website}
|
||
}
|
||
|
||
@article{TaylorJonker1978,
|
||
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|
||
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|
||
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volume = {40},
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||
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|
||
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|
||
}
|
||
|
||
@article{TaylorJonker1978_AI,
|
||
author = {Peter D. Taylor and Leo B. Jonker},
|
||
title = {Evolutionary stable strategies and game dynamics},
|
||
journal = {Mathematical Biosciences},
|
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|
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||
bibsource = {ChatGPT},
|
||
eval = {Missing: month, issn, publisher}
|
||
}
|
||
|
||
@article{Timmis2008Survey,
|
||
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|
||
}
|
||
|
||
@article{TodorovJordan2002,
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||
author = {Todorov, Emanuel and Jordan, Michael I.},
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||
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||
doi = {10.1038/nn963}
|
||
}
|
||
|
||
@article{TodorovJordan2002_AI,
|
||
author = {Emanuel Todorov and Michael I. Jordan},
|
||
title = {Optimal feedback control as a theory of motor coordination},
|
||
journal = {Nature Neuroscience},
|
||
volume = {5},
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number = {11},
|
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pages = {1226--1235},
|
||
year = {2002},
|
||
doi = {10.1038/nn963},
|
||
bibsource = {ChatGPT},
|
||
eval = {Missing: number, publisher, month, issn; otherwise good}
|
||
}
|
||
|
||
@article{WidrowHoff1960LMS,
|
||
author = {Bernard Widrow and Marcian E. Hoff},
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||
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|
||
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||
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||
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|
||
eval = {}
|
||
}
|
||
|
||
@article{Wolpert1997,
|
||
author = {David H. Wolpert and William G. Macready},
|
||
title = {No Free Lunch Theorems for Optimization},
|
||
journal = {IEEE Transactions on Evolutionary Computation},
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||
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|
||
doi = {10.1109/4235.585893}
|
||
}
|
||
|
||
@article{Wolpert1997_AI,
|
||
author = {David H. Wolpert and William G. Macready},
|
||
title = {No Free Lunch Theorems for Optimization},
|
||
journal = {IEEE Transactions on Evolutionary Computation},
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||
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|
||
year = {1997},
|
||
doi = {10.1109/4235.585893},
|
||
bibsource = {ChatGPT},
|
||
eval = {Missing: month, publisher; otherwise good}
|
||
}
|
||
|
||
@article{Zadeh1965Fuzzy,
|
||
author = {Lotfi A. Zadeh},
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||
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||
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||
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|
||
bibsource = {ChatGPT},
|
||
eval = {}
|
||
}
|
||
|
||
@article{vanLamsweerde2001GoalRE,
|
||
author = {Axel van Lamsweerde},
|
||
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|
||
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||
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|
||
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||
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|
||
}
|
||
|
||
@inproceedings{vanLamsweerde2003KAOS,
|
||
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|
||
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||
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||
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||
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||
doi = {10.1109/ICSE.2003.1201248}
|
||
}
|
||
|