Artificial Intelligence
21 Mar 2022 21:23
Yet Another Inadequate Placeholder.
I am not best-pleased to see this phrase come back in to vogue over the last few years, riding on a combination of absurd, apocalyptic myth-making and real but limited advances in the art of curve-fitting, a.k.a. "deep learning". (Said differently, I remember the last time Geoff Hinton's students were going to take over the world with multi-layer connectionist models.)
See also: Artificial Life; Cognitive Science; Ethical and Political Issues in Data Mining, Especially Unfairness in Automated Decision Making; Learning Theory, Computational and Statistical; Machine Learning, Statistical Inference and Induction; Multi-Agent Systems; Neuroscience
- Recommended, big picture:
- Valentino Braitenberg, Vehicles: Experiments in Synthetic Psychology [Review: Hume on Wheels, or, One Must Imagine Frankenstein Happy]
- Brendan Kitts, "AI" in Intelligent Living Systems [Usually a title like that makes my fingers twitch, but Kitts is himself a very intelligent and fairly discriminating living system, even if he does mis-spell my name.]
- Marvin Minsky, The Society of Mind
- Stuart Russell and Peter Norvig, Artificial Intelligence, a Modern Approach [The standard textbook for about two decades now]
- Herbert Simon, The Sciences of the Artificial
- Richard S. Sutton and Andrew G. Barto, Reinforcement Learning: An Introduction
- Recommended, close-ups:
- Margaret Boden, The Creative Mind: Myths and Mechanisms
- Daniel Dennett
- Brainstorms
- Brainchildren: Essays on Designing Minds [Review: An Attempt to Introduce the Experimental Mode of Reasoning into Moral Subjects]
- John Holland, Adaptation in Natural and Artificial Systems
- Gary Marcus
- "Deep Learning: A Critical Appraisal", arxiv:1801.00631
- "Innateness, AlphaZero, and Artificial Intelligence", arxiv:1801.05667
- Drew McDermott, "Artificial Intelligence Meets Natural Stupidity", ACM SIGART Bulletin 57 (April, 1976): 4--9
- Melanie Mitchell, "Why AI is Harder Than We Think", arxiv:2104.12871
- To read:
- Philip Agre, Computation and Human Experience
- Philip Agre and Ian Horswill, "Lifeworld Analysis," Journal of Artificial Intelligence Research 6 (1997): 111--145
- James S. Albus and Alexander M. Meystel
- Engineering of Mind
- Intelligent Systems
- Margaret Boden, Mind as Machine: A History of Cognitive Science
- Léon Bottou, "From machine learning to machine reasoning", Machine Learning (2014): 133--149
- Meredith Broussard, Artificial Unintelligence: How Computers Misunderstand the World
- Justine Cassell, Joseph Sullivan, Scott Prevost, and Elizabeth Churchill (eds.), Embodied Computational Agents
- Harry M. Collins, Artificial Experts: Social Knowledge and Intelligent Machines
- John C. Collins, "On the Compatibility Between Physics and Intelligent Organisms," physics/0102024 [Claims to have a truly elegant refutation of Penrose]
- Craig DeLancey, Passionate Engines: What Emotions Reveal about the Mind and Artificial Intelligence
- Keith L. Downing, Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems
- Hamid R. Ekbia, Artificial Dreams: The Quest for Non-Biological Intelligence
- Dario Floreano and Claudio Mattiussi, Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies
- Kenneth M. Ford, Clark Glymour & Patrick J. Hayes (eds.), Android Epistemology
- Stefano Franchi and Guven Guzeldere (eds.), Mechanical Bodies, Computational Minds: Artificial Intelligence from Automata to Cyborgs
- Vineet Gupta, Radha Jagadeesan and Prakash Panangaden, "Approximate reasoning for real-time probabilistic processes", cs.LO/0505063
- Joseph Y. Halpern and Riccardo Pucella, "Probabilistic Algorithmic Knowledge", cs.AI/0503018
- Marcus Hutter, "Towards a Universal Theory of Artificial Intelligence based on Algorithmic Probability and Sequential Decision Theory," cs.AI/0012011
- Ken Kansky, Tom Silver, David A. Mély, Mohamed Eldawy, Miguel Lázaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, Scott Phoenix, Dileep George, "Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics", arxiv:1706.04317
- Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, Samuel J. Gershman, "Building Machines That Learn and Think Like People", arxiv:1604.00289
- Learning in robots
- C. E. Larson and N. Van Cleemput, "Automated conjecturing III: Property-relations conjectures", Annals of Mathematics and Artificial Intelligence 81 (2017): 315--327
- Hector J. Levesque and Gerhard Lakemeyer, The Logic of Knowledge Bases
- R. Levinson, "A General Programming Language for Unified Planning and Control," Artificial Intelligence 76 (1995)
- James Robert Lloyd, David Duvenaud, Roger Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani, "Automatic Construction and Natural-Language Description of Nonparametric Regression Models", arxiv:1402.4304
- Luo Zhaohui, Computation and Reason: A Type Theory for Computer Science
- Arthur B. Markman, Knowledge Representation
- Melanie Mitchell, Artificial Intelligence; A Guide for Thinking Humans
- N. Muscettola, G. A. Dorais, C. Fry, R. Levinson and C. Plaunt, "A Unified Approach to Model-Based Planning and Execution," in Proceedings of the 6th International Conference on Intelligent Autonomous Systems
- Nils Nilsson, The Quest for Artificial Intelligence [Participant's history.]
- John Pollock, How to Build a Person: A Prolegomenon
- David L. Poole and Alan K. Mackworth, Artificial Intelligence: Foundations of Computational Agents [2nd edition free online]
- Alex Roland and Philip Shiman, Strategic Computing: DARPA and the Quest for Machine Intelligence, 1983--1993
- Stuart Russell and Eric H. Wefald, Do the Right Thing: Studies in Limited Rationality
- Pierre Steiner, "C.S. Peirce and Artificial Intelligence: Historical Heritage and (New) Theoretical Stakes", pp. 265--276 in Philosophy and Theory of Artificial Intelligence
- Tony Veale, Pablo Gervás and Rafael Pérez y Pérez, eds., Special Issue on Computational Creativity", Minds and Machines, Volume 20, Number 4 (2010)
- Michael P. Wellman, "Putting the agent in agent-based modeling", Autonomous Agents and Mutli-Agent Systems 30 (2016): 1175--1189
