SAL: An explicitly pluralistic cognitive architecture

Journal of Experimental and Theoretical Artificial Intelligence

Volumn 20, Issue 3, 2008, Pages 197-218

  Jilk, David J ^a   Lebiere, Christian ^b   O'Reilly, Randall C ^c   Anderson, John R ^b  

^a eCortex Inc   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c UNIVERSITY OF COLORADO   (United States)

Author keywords

Cognitive architecture; Cognitive models; Cognitive neuroscience; Computational models; Pluralism

Indexed keywords

ARTIFICIAL INTELLIGENCE;

COGNITIVE ARCHITECTURE; COGNITIVE ARCHITECTURES; COGNITIVE MODELS; COGNITIVE NEUROSCIENCE; COGNITIVE SCIENCES; COMPONENT ARCHITECTURES; COMPUTATIONAL MODELS; NEURAL ARCHITECTURES; PLURALISM; SINGLE LEVEL;

ARCHITECTURE;

EID: 49549086880     PISSN: 0952813X     EISSN: 13623079     Source Type: Journal    
DOI: 10.1080/09528130802319128     Document Type: Article

References (49)

1. Anderson, J.R. (1976), Language, Memory, and Thought, Hillsdale, NJ: Erlbaum.
2. _. (1983), The Architecture of Cognition, Cambridge, MA: Harvard University Press.
3. _. (1990), The Adaptive Character of Thought, Hillsdale, NJ: Erlbaum.
4. _. (1993), Rules of the Mind, Hillsdale, NJ: Erlbaum.
5. _. (2002), 'Spanning Seven Orders of Magnitude: A Challenge for Cognitive Modeling', Cognitive Science, 26, 85-112.
6. _. (2007), How can the Human Mind Occur in the Physical Universe?, New York, NY: Oxford University Press.
7. Anderson, J.R., Bothell, D., Byrne, M.D., Douglass, S., Lebiere, C., and Qin, Y. (2004), 'An Integrated Theory of Mind', Psychological Review, 111(4), 1036-1060.
8. Anderson, J.R., and Bower, G.H. (1973), Human Associative Memory, Washington: Winston and Sons.
9. Anderson, J.R., and Gluck, K. (2001), 'What Role do Cognitive Architectures Play in Intelligent Tutoring Systems?' in Cognition & Instruction: Twenty-five years of progress, eds. D. Klahr and S.M. Carver, Mahwah, NJ: Erlbaum, pp. 227-262.
10. Anderson, J.R., and Lebiere, C. (1998), The Atomic Components of Thought, Mahwah, NJ: Erlbaum.
11. Bakker, A., Kirwan, C.B., Miller, M., and Star, C.E.L. (2008), 'Pattern Separation in the Human Hippocampal CA3 and Dentate Gyrus', Science, 319, 1640-1642.
12. Best, B.J., and Lebiere, C. (2006), 'Cognitive Agents Interacting in Real and Virtual Worlds', in Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation, ed. R. Sun, New York, NY: Cambridge University Press, pp. 186-218.
13. Braver, T.S., and Cohen, J.C. (2000), 'On the Control of Control: The Role of Dopamine in Regulating Prefrontal Function and Working Memory', in Control of Cognitive Processes: Attention and Performance, eds. S. Monsell and J. Driver, Cambridge, MA: MIT Press, pp. 713-737.
14. Byrne, M.D., and Kirlik, A. (2005), 'Using Computational Cognitive Modeling to Diagnose Possible Sources of Aviation Error', International Journal of Aviation Psychology, 15, 135-155.
15. Feyerabend, P. (1993), Against Method (3rd ed.), New York: Verso.
16. Feynman, R. (1965), The Character of Physical Law, Cambridge: MIT Press. (1994 reprint edition).
17. Frank, M.J., Loughry, B., and O'Reilly, R.C. (2001), interactions Between the Frontal Cortex and Basal Ganglia in Working Memory: A Computational Model', Cognitive, Affective, and Behavioral Neuroscience, 1, 137-160.
18. Freeman, K. (1947), Ancilla to the Pre-Socratic Philosophers, Cambridge: Harvard University Press. (1983 reprint edition).
19. Fu, W.-T., Bothell, D., Douglass, S., Haimson, C., Sohn, M.-H., and Anderson, J.R. (2004), 'Learning from Real-Time Over-the-Shoulder Instructions in a Dynamic Task', Proceedings of the 6th International Conference on Cognitive Modeling, Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh, pp. 100-105.
20. Jilk, D.J., Cer, D.M., and O'Reilly, R.C. (2003), Learning Rules Generated by a Biophysical Model of Synaptic Plasticity. Computational Neuroscience Conference.
21. Kuhn, T.S. (1970), The Structure of Scientific Revolutions (2nd ed.), Chicago: The University of Chicago Press.
22. Lebiere, C., and Anderson, J.R. (1993), 'A Connectionist Implementation of the ACT-R Production System', in Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society, Hillsdale, NJ: Lawrence Erlbaum Associates, pp. 635-640.
23. Lebiere, C., Anderson, J.R., and Reder, L.M. (1994), 'Error Modeling in the ACT-R Production System', in Proceedings of the Sixteenth Annual Meeting of the Cognitive Science Society, Hillsdale, NJ: Erlbaum, pp. 555-559.
24. Lenat, D., and R. Guha, V. (1990), Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project, Reading, MA: Addison-Wesley.
25. Lisman, J., Lichtman, J., and Sanes, J. (2003), 'LTP: Perils and Progress', Nature Reviews Neuroscience, 4, 926-929.
26. Marr, D. (1982), Vision, San Francisco: W.H. Freeman.
27. Maviel, T., Durkin, T.P., Menzaghi, F., and Bontempi, B. (2004), 'Sites of Neocortical Reorganization Critical for Remote Spatial Memory', Science, 305, 96-99.
28. McClelland, J.L., McNaughton, B.L., and O'Reilly, R.C. (1995), 'Why There are Complementary Learning Systems in the Hippocampus and Neocortex: Insights from the Successes and Failures of Connectionist Models of Learning and Memory', Psychological Review, 102, 419-457.
29. Meyer, D.E., and Kieras, D.E. (1997), 'A Computational Theory of Executive Control Processes and Human Multiple-Task Performance: Part 1. Basic Mechanisms', Psychological Review, 104, 3-65.
30. Newell, A. (1972), 'A Theoretical Exploration of Mechanisms for Coding the Stimulus', in Coding Processes in Human Memory, eds. A.W. Melton and E. Martin, Washington, DC: Winston, pp. 373-434.
31. _. (1973a), 'Production Systems: Models of Control Structures', in Visual Information Processing, ed. W.G. Chase, New York, NY: Academic Press, pp. 463-525.
32. _. (1973b), 'You Can't Play 20 Questions with Nature and Win', in Visual Information Processing, ed. W.G. Chase, New York, NY: Academic Press, pp. 283-308.
33. _. (1990), Unified Theories of Cognition, Cambridge, Massachusetts: Harvard University Press.
34. O'Reilly, R.C. (1996), 'Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm', Neural Computation, 8, 895-938.
35. _. (1998), 'Six Principles for Biologically-Based Computational Models of Cortical Cognition', Trend? in Cognitive Sciences, 2, 455-462.
36. _. (2001), 'Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning', Neural Computation, 13, 1199-1242.
37. _. (2006), 'Biologically Based Computational Models of High-Level Cognition', Science, 314, 91-94.
38. O'Reilly, R.C., and Frank, M.J. (2006), 'Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia', Neural Computation, 18, 283-328.
39. O'Reilly, R.C., Frank, M.J., Hazy, T.E., and Watz, B. (2007), 'PVLV: The Primary Value and Learned Value Pavlovian Learning Algorithm', Behavioral Neuroscience, 121, 31-49.
40. O'Reilly, R.C., and Munakata, Y. (2000), Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain, Cambridge, MA: MIT Press.
41. O'Reilly, R.C., and Norman, K.A. (2002), 'Hippocampal and Neocortical Contributions to Memory: Advances in the Complementary Learning Systems Framework', Trends in Cognitive Sciences, 6, 505-510.
42. O'Reilly, R.C., and Rudy, J.W. (2001), 'Conjunctive Representations in Learning and Memory: Principles of Cortical and Hippocampal Function', Psychological Review, 108, 311-345.
43. Rohrlich, F. (1988), 'Pluralistic Ontology and Theory Reduction in the Physical Sciences', The British Journal for the Philosophy of Science, 39, 295-312.
44. Rohrlich, F., and Hardin, C.L. (1983), 'Established Theories', Philosophy of Science, 50, 603-17.
45. Rougier, N.P., Noelle, D., Braver, T.S., Cohen, J.D., and O'Reilly, R.C (2005), 'Prefrontal Cortex and the Flexibility of cognitive control: Rules Without Symbols', Proceedings of the National Academy of Sciences, 102, 7338-7343.
46. Salvucci, D.D. (2006), 'Modeling Driver Behavior in a Cognitive Architecture', Human Factors, 48, 362-380.
47. Stocco, A., Lebiere, C., and Anderson, J.R. (2008), 'Procedural Learning and Sequential Control of Behavior in a Neural Network Model of the Basal Ganglia'. To be presented at 2008 Computational Neuroscience Meeting.
48. Taatgen, N.A., Juvina, I., Herd, S., Jilk, D., and Martens, S. (2007), 'Attentional Blink: An Internal Traffic Jam?' in Proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.
49. Wermter, S., and Sun, R. (Eds.) (2000). Hybrid Neural Systems. Heidelberg: Springer Verlag.