Artificial intelligence
10 Apr 2009 17:40Note: I quite realize this notebook is grossly inadequate to its subject. I hope to put a much better one in its place soon.
See also: Artificial Life; Cognitive Science; Learning Theory, Computational and Statistical; Machine Learning, Statistical Inference and Induction; Multi-Agent Systems; Neuroscience
- Recommended:
- Valentino Braitenberg, Vehicles: Experiments in Synthetic Psychology [Review: Hume on Wheels, or, One Must Imagine Frankenstein Happy]
- 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
- 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
- Herbert Simon, The Sciences of the Artificial
- 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
- 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
- Hamid R.Ekbia, Artificial Dreams: The Quest for Non-Biological Intelligence [blurb]
- 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
- Learning in robots
- Hector J. Levesque and Gerhard Lakemeyer, The Logic of Knowledge Bases [blurb]
- R. Levinson, "A General Programming Language for Unified Planning and Control," Artificial Intelligence 76 (1995)
- Luo Zhaohui, Computation and Reason: A Type Theory for Computer Science
- Arthur B. Markman, Knowledge Representation
- 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, Artificial Intelligence [New textbook from one of the Masters]
- John Pollock, How to Build a Person: A Prolegomenon
- Alex Roland and Philip Shiman, Strategic Computing: DARPA and the Quest for Machine Intelligence, 1983--1993
- Stuart Russell and Peter Norvig, Artificial Intelligence, a Modern Approach [Kris assures me it's as good as it looks.]
- Stuart Russell and Eric H. Wefald, Do the Right Thing: Studies in Limited Rationality
