Journal of Logic and Computation Advance Access published online on October 26, 2009
Journal of Logic and Computation, doi:10.1093/logcom/exp067
Original Papers |
Relevance Realization and the Emerging Framework in Cognitive Science
Cognitive Science Program, and Psychology Department University of Toronto, University College Toronto, ON, Canada, M5S 3H7.
E-mail: john.vervaeke{at}utoronto.ca
Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada K7L 3N6.
E-mail: tim{at}biomed.queensu.ca
Department of Pharmacology, University of Oxford, Mansfield Road Oxford, OX1 3QT UK.
E-mail: blake.richards{at}pharm.ox.ac.uk
Received 20 June 2008.
We argue that an explanation of relevance realization is a pervasive problem within cognitive science, and that it is becoming the criterion of the cognitive in terms of which a new framework for doing cognitive science is emerging. We articulate that framework and then make use of it to provide the beginnings of a theory of relevance realization that incorporates many existing insights implicit within the contributing disciplines of cognitive science. We also introduce some theoretical and potentially technical innovations motivated by the articulation of those insights. Finally, we show how the explication of the framework and development of the theory help to clear up some important incompleteness and confusions within both Montague's work and Sperber and Wilson's theory of relevance.
Keywords: relevance; constraints; self-organization; opponent processing; framework
References
- Austin JL. How to do Things with Words (1962) Oxford University Press.
- Barsalou L. Situated Conceptualization. In. In: Handbook of Categorization in Cognitive Science—Cohen H, Lefebvre C, eds. (2005) Elsevier. 619–650. Chapter 28.
- Bengio Y, LeCun Y. Scaling learning algorithms towards AI. In: Large-Scale Kernel Machines (2007) MIT Press. 321–358.
- Cherniak C. Minimal Rationality (1986) MIT Press.
- Chiappe D, Vervaeke J. Fodor, cherniak, and the naturalization of rationality. Theory and Psychology (1997) 7:799–821.[CrossRef]
- Chiappe DL, Kukla A. Context selection and the frame problem. Behavioral and Brain Sciences (1996) 19:529–530.[Web of Science]
- Chomsky N. The Minimalist Program (1997) 3rd edn. The MIT Press.
- Dennett D. The robot's dilema: the frame problem in artificial intelligence. In: Cognitive Wheels: The Frame Problem of AI (1987) Greenwood Publishing Group Inc.
- Doya K, Samejima K, Katagiri K, Kawato M. Multiple model-based reinforcement learning. Neural Computation (2002) 14:1347–1369.[CrossRef][Web of Science][Medline]
- Doya K. Reinforcement learning in continuous time and space. Neural Computation (2000) 12:219–245.[CrossRef][Web of Science][Medline]
- Fodor J. Psychological Explanation: An Introduction to the Philosophy of Psychology (1968) Random House.
- Fodor J. How the mind works: what we still dont know. Daedalus (2006) 135:86–94.
- French RM. Subcognition and the limits of the Turing test. Mind (1990) 99:53–65.[Web of Science]
- Gärdenfors P. Conceptual Spaces: The geometry of thought (2000) MIT Press.
- Gleitman LR, Liberman M. An Invitation to Cognitive Science: Volume 1: Language (1995) 2nd edn. MIT Press.
- Goodman N. Seven strictures on similarity (1972) Bobbs-Merrill.
- Green C. Fodor, functions, physics and fantasyland: is AI a Mickey Mouse discipline? Journal of Experimental Theoretical Artificial Intelligence (1996) 8:95–106.[CrossRef][Web of Science]
- Green CD, Vervaeke J. What Kind of an Explanation, if Any, is a Connectionist Net? (1996) Captus. 201–208.
- Grice HP. Studies in the Way of Words (1989) Harvard University Press.
- Harman G. Change in View: Principles of Reasoning (1988) MIT Press.
- Haugeland J. Artificial Intelligence: The Very Idea (1985) MIT Press.
- Hinton G, van Camp D. Keeping neural networks simple by minimizing the description length of the weights. (1993) ACM Press. 5–13. In Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory.
- Hinton GE, Dayan P, Frey BJ, Neal RM. The "wake-sleep" algorithm for unsupervised neural networks. Science (1995) 268:1158–1161.
[Abstract/Free Full Text] - Hinton GE, Osindero S, Teh Y-W. A fast learning algorithm for deep belief nets. Neural Computation (2006) 18:1527–1554.[CrossRef][Web of Science][Medline]
- Hinton GE, Salakhutdinov RR. Reducing the dimensionality of data with neural networks. Science (2006) 313:504–507.
[Abstract/Free Full Text] - Holyoak KJ. Problem Solving. In: An Invitation to Cognitive Science: Thinking—Edward ES, Daniel NO, eds. (1995) 2nd edn. MIT Press. 267–295. Chapter 8.
- Klein RM, MacInnes W. Inhibition of return is a foraging facilitator in visual search. Psychological Science (1999) 10:346–362.[CrossRef][Web of Science]
- Li W, Todorov E. Iterative linear quadratic regulator design for nonlinear biological movement systems. 1st International Conference on Informatics in Control, Automation and Robotics (2004) 1:222–229.
- Medin D. Concepts and conceptual structures. American Psychologist (1989) 44:1469–1481.[CrossRef][Medline]
- Medin D, Rips L. Concepts and Categories: Memory, Meaning and Metaphysics. In: The Cambridge Handbook of Thinking and Reasoning—Holyoak KJ, Morrison RG, eds. (2005) Cambridge University Press. Chapter 3.
- Montague R. Your Brain is (Almost) Perfect (2006) Plume.
- Newell A, Simon H. Human Problem Solving (1972) Princeton University.
- Newell A, Simon HA. Computer Science as Empirical Inquiry: Symbols and Search. In: Mind Design II—Haugeland J, ed. (1997) MIT Press. Chapter 4.
- Putnam H. Representation and Reality (1991) MIT Press.
- Pylyshyn Z. Computation and Cognition: Toward a Foundation for Cognitive Science (1984) MIT Press.
- Pylyshyn ZW. The RobotS Dilemma: The Frame Problem in Artificial Intelligence (1988) Ablex Publishing Corporation.
- Ramsey W, Stich SP, Garon J. Connectionism, Eliminativism, and the Future of Folk Psychology (1991) Lawrence Erlbaum. 199–228.
- Rumelhart DE, Ortony A. The Representation of Knowledge in Memory (1977) Lawrence Erlbaum Associates Inc.
- Schank RC, Abelson RP. Scripts, Plans, Goals and Understanding (1977) Lawrence Erlbaum Associates Inc.
- Shimansky YP, Kang T, He J. A novel model of motor learning capable of developing an optimal movement control law online from scratch. Biological Cybernetics (2004) 90:133–145.[CrossRef][Web of Science][Medline]
- Toward and interpersonal neurobiology of the developing mind:attachment relationships, "mindsight" and neural integration. Infant Mental Health Journal (2001) 22:67–94.[CrossRef][Web of Science]
- Siegler RS, Shipley C. Variation, Selection, and Cognitive Change. In: Developing cognitive competence: New approaches to process modeling—Simon T, Halford G, eds. (1995) Erlbaum. 31–76. Chapter 2.
- Simon HA. Reasoning in Human Affairs (1983) Standford University Press.
- Smith E, Osherson D. An Invitation to Cognitive Science: Volume 3: Thinking (1995) 2nd edn. MIT Press.
- Smolensky P. On the proper treatment of connectionism. Behavioural and Brain Sciences (1988) 11:1–73.[Web of Science]
- Smolensky P. Connectionism, Constituency, and the Language of Thought (1991) Blackwell. 201–227.
- Sperber D, Wilson D. Relevance: Communication and Cogniton (1995) 2nd edn. Blackwell.
- Sperber D, Wilson D. Fodor's frame problem and relevance theory. Behavioral and Brain Sciences (1996) 19:530–532.[Web of Science]
- Stich S. The Fragmentation of Reason: Preface to a Pragmatic Theory of Cognitive Evaluation (1993) MIT Press.
- Sutton RS, Barto AG. Reinforcement Learning (1998) The MIT Press.
- Thompson E. Mind in Life: Biology, Phenomenology, and the Sciences of the Mind (2007) Belknap Publishing.
- Todorov E, Jordan MI. Optimal feedback control as a theory of motor coordination. Nature Neuroscience (2002) 16:1226–1235.
- Turing AM. Computing machinery and intelligence. Mind (1950) 59:433–460.
- Vapnik VN. Statistical Learning Theory (1998) John Wiley & Sons, Inc.
- Vapnik VN. An overview of statistical learning theory. IEEE Transactions on Neural Networks (1999) 10:988–999.[CrossRef][Web of Science][Medline]
- Varela F, Thompson ET, Rosch E. The Embodied Mind: Cognitive Science and Human Experience (1991) The MIT Press.
- Vervaeke J. The Naturalistic Imperative in Cognitive Science (1997) Toronto, Canada: University of Toronto. PhD Thesis edition.
- Vilata R, Drissi Y. A perspective view and survey of meta-learning. Artificial Intelligence Review (2002) 18:77–95.[CrossRef][Web of Science]
- Wheeler M. Reconstructing the Cognitive World (2005) MIT Press.
- Wolpert DH, Macready WG. No free lunch theorems for optimization. IEEE Transaction on Evolutionary Computation (1997) 1:67–82.[CrossRef]
| ||||||||||||||||||||||||||||||||||||||||||||||||