The challenge of complexity for cognitive systems

Cognitive Systems Research

Volumn 12, Issue 3-4, 2011, Pages 211-218

  Schmid, Ute ^a   Ragni, Marco ^b   Gonzalez, Cleotilde ^c   Funke, Joachim ^d  

^a UNIVERSITY OF BAMBERG   (Germany)

^b UNIVERSITY OF FREIBURG   (Germany)

^c CARNEGIE MELLON UNIVERSITY   (United States)

^d UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BAYESIAN LEARNING; COGNITION; DECISION MAKING; EDITORIAL; EMOTION; LEARNING; MACHINE LEARNING; MOTIVATION; PERCEPTION; PRIORITY JOURNAL; PROBLEM SOLVING; PSYCHOLOGICAL ASPECT; REINFORCEMENT; RESEARCH; THINKING;

EID: 79953208577     PISSN: 13890417     EISSN: 13890417     Source Type: Journal    
DOI: 10.1016/j.cogsys.2010.12.007     Document Type: Editorial

References (51)

1. Anderson J. Skill acquisition: Compilation of weak-method problem solutions. Psychological Review 1987, 94:192-210.
2. Anderson J., D B., Byrne M., Douglass S., Lebiere C., Qin Y. An integrated theory of the mind. Psychological Review 2004, 111(4):1036-1060.
3. Anderson J.R. The architecture of cognition 1983, Harvard University Press, Cambridge, MA.
4. Broadbent D.E. Levels, hierarchies, and the locus of control. Quarterly Journal of Experimental Psychology 1977, 29:181-201.
5. Buchanan M. Nexus: Small worlds and the groundbreaking theory of networks 2002, Norton, New York.
6. Chi M., Feltovich P., Glaser R. Categorization and representation of physics problems by experts and novices. Cognitive Science 1981, 5:121-152.
7. Cooper G., Herskovits E. A bayesian method for the induction of probabilistic networks from data. Machine Learning 1992, 9:309-347.
8. Cronin M., Gonzalez C. Understanding the building blocks of system dynamics. System Dynamics Review 2007, 23(1):1-17.
9. Cronin M., Gonzalez C., Sterman J.D. Why don't well-educated adults understand accumulation? A challenge to researchers, educators and citizens. Organizational Behavior and Human Decision Processes 2009, 108:116-130.
10. Dix A., Finlay J., Abowd G., Beale R. Human-computer interaction 2004, Prentice Hall, New Jersey. 3rd ed.
11. Dörner D. On the difficulty people have in dealing with complexity. Simulation & Games 1980, 11:87-106.
12. Dörner D. Die Logik des Misslingens. Strategisches Denken in komplexen Situationen 1989, Rowohlt, Reinbek bei Hamburg.
13. Dörner D., Kreuzig H.W., Reither F., Stäudel T. Lohhausen. vom umgang mit unbestimmtheit und komplexität 1983, Huber, Bern.
14. Dörner D., Wearing A. Complex problem solving: Toward a (computer-simulated) theory. Complex problem solving: The european perspective 1995, 65-99. Lawrence Erlbaum, Hillsdale, NJ. P. Frensch, J. Funke (Eds.).
15. Dutt V., Gonzales C. Slope of inflow impacts dynamic decision making. Proceedings of the 25th International Conference of the System Dynamics Society 2007, 79. System Dynamics Society, Boston, MA.
16. Feigenbaum, E. (1977). The art of artificial intelligence: themes and case studies in knowledge engineering. In Proceedings of the 5th international joint conference on artificial intelligence (Vol. 2, pp. 1014-1029).
17. Forbus K.D., Hinrichs T.R. Companion cognitive systems - A step toward human-level AI. AI Magazine, Achieving Human-Level Intelligence through Integrated Systems and Research 2006, 27(2):83-95. special issue.
18. Complex problem solving: The European perspective 1995, Lawrence Erlbaum Associates, Hillsdale, NJ. P.A. Frensch, J. Funke (Eds.).
19. Funke J. Microworlds based on linear equation systems: A new approach to complex problem solving and experimental results. The cognitive psychology of knowledge 1993, Elsevier, Amsterdam, pp. 313-330. G. Strube, K.-F. Wender (Eds.).
20. Funke J. Komplexes problemlösen. Denken und problemlösen 2006, Vol. 8. Hogrefe, Göttingen.
21. Funke J. Complex problem solving: A case for complex cognition?. Cognitive Processing 2010, 11(2):133-142.
22. Ghallab M., Nau D., Traverso P. Automated planning: Theory and practice 2004, Morgan Kaufman, San Francisco, CA.
23. Gonzalez C., Best B., Healy A., Bourne L., Kole J. A cognitive modeling account of fatigue. Journal of Cognitive Systems Research 2010, 12:19-32.
24. Gonzalez C., Lerch F.J., Lebiere C. Instance-based learning in dynamic decision making. Cognitive Science 2003, 27:591-635.
25. Greiff, S. (2011). Individualdiagnostik der komplexen Problemlösefähigkeit. Münster: Waxmann.
26. Building expert systems 1983, Addison-Wesley, Menlo Park, CA. F. Hayes-Roth, D. Waterman, D.B. Lenat (Eds.).
27. Klein G., Ross K.G., Moon B.M., Klein D.E., Hoffman R.R., Hollnagel E. Macrocognition. IEEE Intelligent Systems 2003, 18(3):81-85.
28. Klenk M., Forbus K. Analogical model formulation for transfer learning in ap physics. Artificial Intelligence 2009, 173(18):1615-1638.
29. Knauff M., Wolf A.G. Complex cognition: The science of human reasoning, problem-solving, and decision-making. Cognitive Processing 2010, 11(2):99-102.
30. Kuehne S., Forbus K., Gentner D., Quinn B. SEQL: Category learning as progressive abstraction using structure mapping. Proc. of the 22nd annual conference of the cognitive science society 2000, Erlbaum, Mahwah, NJ, pp. 770-775. L. Gleitman, A. Joshi (Eds.).
31. Laird J.E., Newell A., Rosenbloom P.S. Soar: An architecture for general intelligence. Artificial Intelligence 1987, 33:1-64.
32. Laird J.E., Rosenbloom P.S., Newell A. Chunking in soar: The anatomy of a general learning mechanism. Machine Learning 1986, 1:11-46.
33. Langley P., Choi D. A unified cognitive architecture for physical agents. Proceedings of the twenty-first national conference on artificial intelligence 2006, AAAI Press, Boston, MA.
34. Marewski J., Gaissmaier W., Gigerenzer G. Good judgements do not require complex cognition. Cognitive Processing 2010, 11(2):103-122.
35. Marr D. Vision 1982, MIT Press, Cambridge, MA.
36. Mitchell T.M. Machine learning 1997, McGraw-Hill, New York.
37. Newell A. Unified theories of cognition 1990, Harvard University Press, Cambridge, MA.
38. Newman M.E.J. The structure and function of complex networks. SIAM Review 2003, 45:167-256.
39. Osman M. Controlling uncertainty: A review of human behavior in complex dynamic environments. Psychological Bulletin 2010, 136(1):65-86.
40. Schmid U. Cognition and AI. Künstliche Intelligenz 2008, 22(1):5-7.
41. Schwering A., Krumnack U., Kühnberger K.-U., Gust H. Syntactic principles of heuristic-driven theory projection. Cognitive Science Research 2009, 10:251-269.
42. Senge P.e.a. The dance of change: The challenges to sustaining momentum in learning organizations 1999, Doubleday, New York.
43. Sterman J. Business dynamics: System thinking and modeling for a complex world 2000, Irwin/McGraw-Hill, New York.
44. Sterman J., Booth-Sweeney L. Cloudy skies: Assessing public understanding of global warming. System Dynamics Review 2002, 18(2):207-240.
45. Sternberg R., Ben-Zeev T. Complex cognition: The psychology of human thought 2001, Oxford University Press, New York.
46. Sun R., Zhang X. Accounting for a variety of reasoning data within a cognitive architecture. Journal of Experimental and Theoretical Artificial Intelligence 2006, 18:169-191.
47. Taatgen N.A., Anderson J.R. Why do children learn to say 'broke'? A model of learning the past tense without feedback. Cognition 2002, 86:123-155.
48. Tenenbaum J., Griffiths T., Kemp C. Theory-based Bayesian models of inductive learning and reasoning. Trends in Cognitive Sciences 2006, 10(7):309-318.
49. Architectures for intelligence 1991, Lawrence Erlbaum, Hillsdale, NJ. K. VanLehn (Ed.).
50. Weller S., Schmid U. Solving proportional analogies by E-generalization. KI 2006: Advances in artificial intelligence, 29th annual German conference on AI, KI 2006, proceedings 2006, Springer, Heidelberg.
51. Wooldridge M. An introduction to multiagent systems 2002, Wiley, New York.