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Human and nonhuman systems are adaptive in a different sense

Published online by Cambridge University Press:  19 May 2011

Tamás Zétényi
Tamás Zétényi
Affiliation:
Department of General Psychology, L. Eötvös University, H-1378 Budapest, Pf.4, Hungary
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Behavioral and Brain Sciences , Volume 14 , Issue 3 , September 1991 , pp. 507 - 508
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Copyright © Cambridge University Press 1991

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References

Alcock, J. (1989) Animal behavior. Sinauer. [DWM]Google Scholar
Anderson, J. R. (1983) The architecture of cognition. Harvard University Press. [aJRA, RLC]Google Scholar
Anderson, J. R. (1978) Arguments concerning representations for mental imagery. Psychological Review 85:249–77. [rJRA]CrossRefGoogle Scholar
Anderson, J. R. (1987) Methodologies for studying human knowledge. Behavioral and Brain Sciences 10:467–505. [rJRA]Google Scholar
Anderson, J. R. (1990a) The adaptive character of thought. Erlbaum. [arJRA, RLC, DWM, TRS]Google Scholar
Anderson, J. R. (1990b) Cognitive psychology and its implications, 3rd ed. W. H. Freeman. [aJRA]Google Scholar
Anderson, J. R. (in press) The place of cognitive architectures in a rational analysis. In: Architectures for intelligence, ed. vanLehn, K.. Erlbaum. [aJRA]Google Scholar
Anderson, J. R. & Kushmerick, N. (1990) A rational analysis of production system architecture. Paper presented at the 31st Annual Meeting of the Psychonomic Society, November 16–18. [aJRA]Google Scholar
Anderson, J. R. & Matessa, M. (1990) A rational analysis of categorization. In: Proceedings of the Seventh International Machine Learning Conference, Palo Alto, CA, ed. Kaufmann, M.. [aJRA]CrossRefGoogle Scholar
Anderson, J. R. & Matessa, M. (submitted) Explorations of an incremental, Bayesian algorithm for categorization. Machine Learning. [rJRA]Google Scholar
Anderson, J. R. & Milson, R. (1989) Human memory: An adaptive perspective. Psychological Review 96(4):703–19. [aJRA, WS]CrossRefGoogle Scholar
Anderson, N. H. (1981) Information integration theory. Academic Press. [H-GG]Google Scholar
Arkes, H. R. & Harkness, A. R. (1983) Estimates of contingency between two dichotomous variables. Journal of Experimental Psychology: General 112:117–35. [aJRA]Google Scholar
Atwood, M. E. & Poison, P. G. (1976) A process model for water jug problems. Cognitive Psychology 8:191–216. [aJRA]CrossRefGoogle Scholar
Bahrick, H. P. (1979) Maintenance of knowledge: Questions about memory we forget to ask. Journal of Experimental Psychology: General 108:296–308. [aJRA]CrossRefGoogle Scholar
Baron, J. (1985) Rationality and intelligence. Cambridge University Press. [jB]Google Scholar
Baron, J. (1988) Thinking and deciding. Cambridge University Press. [JB]Google Scholar
Baron, J. (1990) Harmful heuristics and the improvement of thinking. In: Developmental perspectives on teaching and learning thinking skills, ed. Kuhn, D.. Karger. [ JB]Google Scholar
Baron, J., Badgio, P. & Gaskins, I. W. (1986) Cognitive style and its improvement: A normative approach. In: Advances in the psychology of human intelligence, vol. 3, ed. Sternberg, R. J.. Erlbaum. [JB]Google Scholar
Baron, J., Badgio, P. & Ritov, Y. (in press) Departures from optimal stopping in an anagram task. Journal of Mathematical Psychology. [JB]Google Scholar
Baum, W. M. (1974) On two types of deviation from the matching law: Bias and undermatching. Journal of the Experimental Analysis of Behavior 22:231–42. [HR]CrossRefGoogle ScholarPubMed
Bellman, R. (1961) Adaptive control processes: A guided tour. Princeton University Press. [GCA]Google Scholar
Benkherouf, L. & Bather, J. A. (1988) Oil exploration: Sequential decisions in the face of uncertainty. Journal of Applied Probability 25:529“43. [WS]Google Scholar
Berger, J. O. (1985) Statistical decision theory and Bayesian analyses. Springer-Verlag. [aJRA]Google Scholar
Bernard, C. (1865) Introduction a I'etude de la medicine experimentale (2nd ed., 1867). Emile Martinet. [SLS]Google Scholar
Bickhard, M. H. (1980) Cognition, convention, and communication. Praeger. [RLC]Google Scholar
Bickhard, M. H. (1987) The social nature of the functional nature of language. In: Social and functional approaches to language and thought, ed. Hickmann, M.. Academic Press. [RLC]Google Scholar
Bickhard, M. H. (in press a) The import of Fodor's anticonstructivist arguments. In: Epistemological foundations of mathematical experience, ed. Steffe, L. P.. Springer. [RLC]Google Scholar
Bickhard, M. H. (in press b) How does the environment affect the person? In: Children's development within social contexts, ed. Winegar, L. T. & Valsiner, J.. Erlbaum.[RLC]Google Scholar
Bickhard, M. H. & Campbell, R. L. (1989) Interactivism and genetic epistemology. Archives de Psychologic 57:99–121. [RLC]Google Scholar
Bickhard, M. H. & Richie, D. M. (1983) On the nature of representation: A case study of James J. Gibsons theory of perception. Praeger. [RLC]Google Scholar
Birnbaum, M. H. (1983) Base rates in Bayesian inference: Signal detection analysis of the cab problem. American Journal of Psychology 96:85–94. [GG]CrossRefGoogle Scholar
Box, G. E. P. & Tiao, G. C. (1973) Bayesian inference in statistical analysis. Addison-Wesley. [rJRA]Google Scholar
Boyd, R. & Richerson, P. J. (1985) Culture and the evolutionary process. University of Chicago Press. [PG-S]Google Scholar
Brehmer, B. & Joyce, C. R. B., eds. (1988) Human judgment: The SJT view. North-Holland. [RH]Google Scholar
Broca, P. P. (1861) Nouvelle observation d'aphemie produite par une lesion de la partie posterieure des deuxieme et troisieme circonvolutions frontales. Bulletin de la Societe” Anatomique de Paris 6:398–407. [SLS]Google Scholar
Broemeling, L. D. (1985) Bayesian analysis of linear models. Marcel Dekker. [RAMG]Google Scholar
Brooks, L. (1978) Nonanalytic concept formation and memory for instances. In: Cognition and categorization, ed. Rosch, E. & Lloyd, B. B.. Erlbaum. [aJRA]Google Scholar
Brooks, R. (1987) Intelligence without representation. MIT AI Report. [RLC]Google Scholar
Brunswik, E. (1934) Wahrnehmung und Gegenstandswelt: Grundlegung einer Psychologic vom Gegenstand her (Perception and the world of objects: The foundations of a psychology in terms of objects). Deuticke. [RH]Google Scholar
Brunswik, E. (1943) Organismic achievement and environmental probability. Psychological Review 50:255–72. [RH]Google Scholar
Brunswik, E. (1956) Perception and the representative design of psychological experiments. University of California Press. [aJRA, RH]Google Scholar
Brunswik, E. (1964) Scope and aspects of the cognitive problem. In: Contemporary approaches to cognition, ed. Bruner, J. S. et al. Harvard University Press. [GG]Google Scholar
Buffart, H. F. J. M. & Geissler, H. G. (1983) Task-dependent representation of categories and memory-guided inference during classification. In: Trends in mathematical psychology, ed. Degreef, E. & van Buggenhaut, J.. North Holland. [H-GG]Google Scholar
Burrell, Q. L. (1980) A simple stochastic model for library loans. Journal of Documentation 36:115–32. [aJRA, GMB, WS]Google Scholar
Burrell, Q. L. (1985) A note on aging on a library circulation model. Journal of Documentation 41:100–15. [GMB]Google Scholar
Burrell, Q. L. & Cane, V. R. (1982) The analysis of library data. Journal of the Royal Statistical Society Series A (145):439–71. [aJRA]Google Scholar
Bylander, T., Allemang, D., Tanner, M. & Josephson, J. (1989) Some results concerning the computational complexity of abduction. Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning, Toronto. [JKT]Google Scholar
Camerer, C., Loewenstein, G. & Weber, M. (1989) The curse of knowledge in economic settings: An experimental analysis. Journal of Political Economy 97:1232–54. [JB]Google Scholar
Campbell, R. L. & Bickhard, M. H. (1986) Knowing levels and developmental stages. Karger. [RLC]Google Scholar
Campbell, R. L. & Bickhard, M. H. (1987) A deconstruction of Fodor's anticonstructivism. Human Development 30:48–59. [RLC]CrossRefGoogle Scholar
Chapman, G. B. (1990) Models of contingency judgment. Ph.D. thesis, Department of Psychology, University of Pennsylvania. [JB]Google Scholar
Chapman, L. J. & Chapman, J. P. (1967) Genesis of popular but erroneous psychodiagnostic observations. Journal of Abnormal Psychology 72:193–204. [JB]Google Scholar
Chapman, L. J. & Chapman, J. P. (1969) Illusory correlation as an obstacle to the use of valid psychodiagnostic signs. Journal of Abnormal Psychology 74:271–80. [JB]Google Scholar
Cheeseman, P., Kelly, J., Self, M., Stutz, J., Taylor, W. & Freeman, D. (1988) A Bayesian classification system. In: Proceedings of the Fifth International Conference on Machine Learning, San Mateo, CA. [aJRA]CrossRefGoogle Scholar
Cheng, P. & Holyoak, K. (1985) Pragmatic reasoning schemas. Cognitive Psychology 17:391–416. [GG]CrossRefGoogle ScholarPubMed
Chow, C. & Scheduler, Z. (1985) On stopping rules in proofreading. Journal of Applied Probability 22:971–77. [WS]CrossRefGoogle Scholar
Clark, C. (1991) Modeling behavioral adaptations. Behavioral and Brain Sciences 14(1):85–118. [BWD]Google Scholar
Cohen, L. J. (1981) Can human irrationality be experimentally demonstrated? Behavioral and Brain Sciences 4:317–70. [PS]Google Scholar
Cohen, M. M. & Massaro, D. W. (in press) On the similarity of categorization models. In: Probabilistic multidimensional models of perception and cognition, ed. Ashby, F. G.. Erlbaum. [DWM]Google Scholar
Corcos, D. M.Gottlieb, G. L. & Agarwal, G. C. (1988) Accuracy constraints upon rapid elbow movements. Journal of Motor Behavior 20:255–72. [GCA]Google Scholar
Corter, J. E. or Gluck, M. A. (1985) The pragmatics of semantics: Information, communication and levels of abstraction. Paper presented at meeting of the Society for Philosophy and Psychology, University of Toronto. [JEC] (submitted) Explaining basic categories: Feature predictability and information. [JEC]Google Scholar
Cosmides, L. (1989) The logic of social exchange: Has natural selection shaped how humans reason? Cognition 31:187–276. [GG]Google Scholar
Crocker, J. (1981) Judgment of covariation by social perceivers. Psychological Bulletin 90:272–92. [aJRA]CrossRefGoogle Scholar
deGroot, M. H. Groot, M. H. (1970) Optimal statistical decisions. McGraw-Hill. [rJRA, RAMG]Google Scholar
Doyle, R. (1989) Reasoning about hidden mechanisms. Proceedings of the International Joint Conference on Artificial Intelligence. [TRS]Google Scholar
Dupré, J. (1987) The latest on the best. MIT Press. [aJRA]Google Scholar
Edelman, G. M. (1987) Neural Darwinism. Basic Books. [H-GG]Google Scholar
Einhorn, H. J. & Hogarth, R. M. (1986) Judging probable cause. Psychological Bulletin 99:3–19. [aJRA]Google Scholar
Evans, J. St. B. T. (1989) Bias in human reasoning: Causes and consequences. Erlbaum. [JSBTE]Google Scholar
Fantino, E. & Abarca, N. (1985) Choice, optimal foraging and the delay-reduction hypothesis. Behavioral and Brain Sciences 8:315–30. [aJRA]Google Scholar
Feller, W. (1968) An introduction to probability theory and its applications, 3rd ed., vol. 1. Wiley. [WS]Google Scholar
Fisher, D. H. (1987) Knowledge acquisition via incremental conceptual clustering. Machine Learning 2:139–72. [aJRA]Google Scholar
Fisher, K. A. (1936) Multiple measurements of taxonomic problems. Annals of Eugenics 7:179–88. [rJRA]Google Scholar
Fitts, P. M. (1954) The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology 47:381–91. [GCA]Google Scholar
Fitts, P. M. & Peterson, J. R. (1964) Information capacity of discrete motor responses. Journal of Experimental Psychology 67:102–12. [GCA]Google Scholar
Fodor, J. (1975) The language of mind. Crowell. [RLC]Google Scholar
Fodor, J. (1980) Fixation of belief and concept acquisition. In: Language and learning: The debate between Jean Piaget and Noam Chomsky, ed. Piattelli-Palmarini, M.. Harvard University Press. [RLC]Google Scholar
Fodor, J. (1981) The present status of the innareness controversy. In: Representations, ed. Fodor, J.. MIT Press. [RLC]Google Scholar
Freyd, J. J. (1982) Shareability: The social psychology of epistemology. Cognitive Science 7:191–210. [JEC]Google Scholar
Fried, L. S. & Holyoak, K. J. (1984) Induction of category distributions: A framework for classification learning. Journal of Experimental Psychology: Learning, Memory, and Cognition 10:234–57. [aJRA]Google Scholar
Funder, D. C. (1987) Errors and mistakes: Evaluating the accuracy of social judgment. Psychological Bulletin 101:75–90. [rJRA, JB]Google Scholar
Gal, I. (1990) Understanding repeated choices under uncertainty. Ph.D. thesis, Department of Psychology, University of Pennsylvania. [JB]Google Scholar
Geissler, H. G. (1970) Calibration law and space orientation (in German). Unpub. doctoral dissertation, Humboldt University, Berlin. [H-GG]Google Scholar
Geissler, H. G. (1976) Internal representation of external states: Aspects of an indirect validation approach to psychophysics. In: Advances in psychophysics, ed. Geissler, H. G. & Zabrodin, Yu. M.. Deutscher Verlag der Wissenschaften. [H-GG]Google Scholar
Geissler, H. G. (1980) Perceptual representation of information: Dynamic frames of references in judgment and recognition. In: Psychological research, Humboldt University 1960–1980, ed. Klix, F. & Krause, B.. Deutscher Verlag der Wissenschaften. [H-GG]Google Scholar
Geissler, H. G. (1983) Physical correlate theory versus indirect calibration approach. Behavioral and Brain Sciences 2:316–18. [H-GG]Google Scholar
Geissler, H. G. (1987) The temporal architecture of central information processing: Evidence for a tentative time-quantum model. Psychological Research 49:99–106. [H-GG]Google Scholar
Geissler, H. G. (1991) New magical numbers in mental activity? On a taxonomic system for critical time periods. In: Cognition, information processing and psychophysics: Basic issues, ed. Geissler, H. G.Link, S. W. & Townsend, J. T.. Erlbaum [H-GG].Google Scholar
Geissler, H. G. & Buffart, H. F. M. J. (1985) Task dependency and quantized processing in classification. In: Cognition, information processing and motivation, selected revised papers, vol. 3, ed. d'Ydewalle, G.. North-Holland. [H-GG]Google Scholar
Geissler, H. G. & Puffe, M. (1983) The inferential basis of classification: From perceptual to memory code systems. In: Modern issues in perception, ed. Geissler, H. G., Buffart, H. F. M. J., Leeuwenberg, E. L. J. & Sarris, V.. Deutscher Verlag der Wissenschaften. North-Holland. [H-GG]Google Scholar
Geissler, H. G., Klox, F. & Scheidereiter, U. (1978) Visual recognition of serial structure: Evidence of a two-stage scanning model. In: Formal theories of perception, ed. Leeuwenberg, E. L. J. & Buffart, H. F. J. M.. Wiley. [H-GG]Google Scholar
Gelfand, A. E. & Smith, A. F. M. (1990) Sampling-based approaches to calculating marginal densities. Journal of the American Statistical Association 85:398–409. [rJRA]CrossRefGoogle Scholar
Gibbon, J. (1986) The structure of subjective time: How time flies. In: The psychology of learning and motivation, vol. 20, ed. Bower, G. H.. Academic Press. [HR]Google Scholar
Gibson, J. J. (1966) The senses considered as perceptual systems. Houghton Mifflin. [aJRA]Google Scholar
Gibson, J. J. (1979) The ecological approach to visual perception. Houghton Mifflin. [aJRA]Google Scholar
Gigerenzer, G. (1991) From tools to theories. A heuristic of discovery in cognitive psychology. Psychological Review 98 (in press). [GG]Google Scholar
Gigerenzer, G. & Murray, D. J. (1987) Cognition as intuitive statistics. Erlbaum. [GG]Google Scholar
Gigerenzer, G., Hell, W. & Blank, H. (1988) Presentation and content: The use of base rates as a continuous variable. Journal of Experimental Psychology: Human Perception and Performance 14:513–25. [DWM]Google Scholar
Gillund, G. & Shiffrin, R. M. (1984) A retrieval model for both recognition and recall. Psychological Review 91:1–67. [aJRA]Google Scholar
Glenberg, A. M. (1976) Monotonic and nonmonotonic lag effects in paired-associate and recognition memory paradigms. Journal of Verbal Learning and Verbal Behavior 15:1–16. [aJRA]Google Scholar
Gluck, M. A. & Bower, G. H. (1988) From conditioning to category learning:An adaptive network model. Journal of Experimental Psychology: General 8:37–50. [aJRA]Google Scholar
Gluck, M. A. & Corter, J. E. (1985) Information, uncertainty, and the utilityof categories. In: Proceedings of the Seventh Annual Conference of the Cognitive Science Society. Erlbaum. [JEC]Google Scholar
Godbeer, G. (1987) The computational complexity of the stable configuration problem for connectionist models. M.S. thesis, Department of Computer Science, University of Toronto, September (Tech. Report 208/88). [JKT]Google Scholar
Gottlieb, G. L., Corcos, D. M. & Agarwal, G. C. (1989) Strategies for the control of voluntary movements with one mechanical degree of freedom. Behavioral and Brain Sciences 12:189–250. [GCA]Google Scholar
Gould, S. J. (1986) Evolution and the triumph of homology, or why historymatters. American Scientist 74:60–69. [DWM]Google Scholar
Gould, S. J. & Lewontin, R. C. (1979) The spandrels of San Marco and the Panglossian paradigm: A critique of the adaptionist program. Proceedings of the Royal Society of London 205:581–98. [aJRA]Google Scholar
Gould, S. J. & Lewontin, R. C. (1979) The spandrels of San Marco and the Panglossian paradigm: A critique of the adaptionist program. Reprinted In: Conceptual issues in evolutionary biology: An anthology, ed. Sober, E.. MIT Press. (1984). [PG-S]Google Scholar
Greiner, R. (1990) Finding the optimal derivation strategy in a redundantknowledge base. Artificial Intelligence (in press). [JKT]Google Scholar
Grossberg, S., ed. (1988) Competitive learning: From interactive activation to adaptive resonance. In: Neural networks and natural intelligence. MIT Press. [H-GG]Google Scholar
Hammond, K. R. (1955) Probabilistic functioning and the clinical method. Psychological Review 62:255–62. [RH]Google Scholar
Hammond, K. R. (1988) Judgement and decision making in dynamic tasks. Information and Decision Technologies 14:3–14. [RH]Google Scholar
Hamad, S. (1989) The symbol grounding problem. Physica D 42:335–46. [RLC]Google Scholar
Hayes-Roth, B. & Hayes-Roth, F. (1977) Concept learning and therecognition and classification of exemplars. Journal of Verbal Learning and Verbal Behavior 16:321–38. [aJRA]Google Scholar
Herrnstein, R. J. (1990) Rational choice theory: Necessary but not sufficient. American Psychologist 45 (3):356–67. [aJRA]Google Scholar
Herrnstein, R. J. & Vaughan, W. Jr. (1980) Melioration and behavioral allocation. In: Limits to action: The allocation of individual behavior, ed. Staddon, J. E. R.. Academic Press. [aJRAjGoogle Scholar
Heyman, G. M. & Herrnstein, R. J. (1986) More on concurrent interval-ratio schedules: A replication and review. Journal of the Experimental Analysis of Behavior 46:331–51. [EF]Google Scholar
Hoffman, J. … Ziessler, C. (1983) Objectidentifikation in kunstlichen Begriffshierarchien. Zeitschrift fur Psychologie 194:135–67. [aJRA, H-GG]Google Scholar
Homa, D. & Cultice, J. (1984) Role of feedback, category size, and stimulus distortion in the acquisition and utilization of ill-defined categories. Journal of Experimental Psychology: Learning, Memory, and Cognition 10:83–94. [aJRA]Google Scholar
Houston, A. I. & McNamara, J. M. (1988) A framework for the functionalanalyses of behaviour. Behavioral and Brain Sciences 11:117–63. [aJRA]Google Scholar
Jeffrey, R. (1987) Risk and human rationality. Monist 70:223–36. [GG]Google Scholar
Johnson-Laird, P. N. & Byrne, R. (in press) Deduction. Hove & London: Erlbaum. [JSBTE]Google Scholar
Jones, G. V. (1983) Identifying basic categories. Psychological Bulletin 92:174–77. [JEC]Google Scholar
Just, M. A. & Carpenter, P. A. (1980) A theory of reading: Eye fixations tocomprehension. Psychological Review 87:329–54. [SLS]Google Scholar
Kahneman, D. & O'Curry, S. (1988) Surprise as an indication for spontaneous categorization. Presented at the 29th Annual Meeting of the Psychonomic Society, November 10–12. [aJRA]Google Scholar
Kahneman, D. & Tversky, A. (1972) Subjective probability: A judgment of representativeness. Cognitive Psychology 3:430–54. [JB]Google Scholar
Kahneman, D. & Tversky, A. (1973) On the psychology of prediction. Psychological Review 80:237–51. [ES]Google Scholar
Kahneman, D. & Tversky, A. (1979) Prospect theory: An analysis of decision under risk. Econometrica 47:263–91. [JB, PS]Google Scholar
Kahneman, D. & Tversky, A. (1984) Choices, values and frames. American Psychologist 39:341–50. [aJRA, ES]Google Scholar
Kahneman, D., Slovic, P. & Tversky, A. (1982) Judgment under uncertainty: Heuristics and biases. Cambridge University Press. [JSBTE]Google Scholar
Kautz, H. & Selman, B. (in press) Hard problems for simple default logics. Artificial Intelligence. [JKT]Google Scholar
Kettlewell, P. (1973) The evolution of melanism. Oxford University Press (Oxford). [aJRA]Google Scholar
Kintsch, W. (1970) Models for free recall and recognition. In: Models of human memory, ed. Norman, D. A.. Academic Press. [aJRA]Google Scholar
Kirousis, L. & Papadimitriou, C. (1985) The complexity of recognizing polyhedral scenes. Proceedings of the 26th Annual Symposium on Foundations of Computer Science, October, Portland, OR. [JKT]Google Scholar
Knetsch, J. L. & Sinden, J. A. (1984) Willingness to pay and compensation: Experimental evidence of an unexpected disparity in measures of value. Quarterly Journal of Economics 99:508–22. [JB]Google Scholar
Kotovsky, K., Hayes, J. R. & Simon, H. A. (1985) Why are some problemshard? Evidence from Tower of Hanoi. Cognitive Psychology 17:248–94. [aJRA]Google Scholar
Kuhn, D. (1989) Children and adults as intuitive scientists. Psychological Review 96:674–89. [TRS]Google Scholar
Kuhn, D. (in press) The skills of argument. Cambridge University Press. [JB]Google Scholar
Kuhn, D., Amsel, E. & O'Loughlin, M. (1988) The development of scientific thinking skills. Academic Press. [JB]Google Scholar
Kunda, Z., & Nisbett, R. E. (1986) The psychometrics of everyday life. Cognitive Psychology 18:195–224. [KJH]Google Scholar
Kyburg, H. E. Jr. (1983) Rational belief. Behavioral and Brain Sciences 6:231–73. [PS]Google Scholar
Langley, P., Bradshaw, G. L. & Simon, H. A. (1983) Rediscovering chemistrywith the Bacon system. In: Machine learning: An artificial approach, ed. Michalski, R. S., Carbonell, J. G. & Mitchell, T. M.. Tioga. [SLS]Google Scholar
Larrick, R. P., Morgan, J. N. & Nisbett, R. E. (1990) Teaching the use ofcost-benefit reasoning in everyday life. Psychological Science 1:362–70. [JB]Google Scholar
Larrick, R. P., Nisbett, R. E. & Morgan, J. N. (1990) Who uses cost-benefit reasoning? Unpub. manuscript, University of Michigan, Ann Arbor, MI. [JB]Google Scholar
Lebowitz, M. (1987) Experiments with incremental concept formation: UNIMEM. Machine Learning 2:103–38. [aJRA]Google Scholar
Lee, P. M. (1989) Bayesian statistics. Oxford University Press. [rJRA]Google Scholar
Leeuwenberg, E. L. J. & Buffart, H. F. M. J. (1983) An outline of codingtheory. Summary of some related experiments. In: Modern issues in perception, ed. Geissler, H. G., Buffart, H. F. M. J., Leeuwenberg, E. L. J. & Sarris, V.. Deutscher Verlag der Wissenschaften. North-Holland. [H-GG]Google Scholar
Lewontin, R. C. (1990) The evolution of cognition. In: An invitation to cognitive science, vol. 3, ed. Osherson, D. & Smith, E.. MIT Press. [ES]Google Scholar
Lichtenstein, S., Fischhoff, B. & Phillips, B. (1982) Calibration of probabilities: The state of the art to 1980. In: Judgment under uncertainty: Heuristics and biases, ed. Kahneman, D., Slovic, P. & Tversky, A.. Cambridge University Press. [JB]Google Scholar
Logsdon, J. B. (1990) Principles of optimum control of rapid human limbmovements. M.S. thesis, Department of Electrical Engineering and Computer Science, University of Illinois at Chicago. [GCA]Google Scholar
Luce, R. D. (1986) Response times. Oxford University Press. [WS]Google Scholar
Macphail, E. M. (1987) The comparative psychology of intelligence. Behavioral and Brain Sciences 10:645–95. [RdS]Google Scholar
Mandler, J. M., Bauer, P. J. & McDonough, L. (1988) Differentiating globalcategories. Presented at the 29th Annual Meeting of the Psychonomic Society, November 10–12. [aJRA]Google Scholar
Marr, D. (1982) Vision. W. H. Freeman. [aJRA, SLS, TZ]Google Scholar
Marr, D. & Poggio, T. (1977) A theory of human stereo vision. Artificial Intelligence Laboratory, Massachusetts Institute of Technology. Technical Report AI Memo 451. [SLS]Google Scholar
Massaro, D. W. (1987) Speech perception by ear and eye: A paradigm for psychological inquiry. Erlbaum. [DWM]Google Scholar
Massaro, D. W. (1989) Testing between the TRACE model and the fuzzy logical model ofperception. Cognitive Psychology 21:398–421. [DWM]Google Scholar
Massaro, D. W. & Friedman, D. (1990) Models of integration given multiplesources of information. Psychological Review 97:225–52. [DWM]Google Scholar
Mayr, E. (1983) How to carry out the adaptionist program? American Naturalist 121:324–34. [aJRA]Google Scholar
McNeil, B. J., Pauker, S. G., Sox, H. C. & Tversky, A. (1982) On theelicitation of preferences for alternative therapies. New England Journal of Medicine 306:1259–62. [ES]Google Scholar
Medin, D. L. (1983) Structural principles of categorization. In: Interaction: Perception, development and cognition, ed. Shepp, B. & Tighe, T.. Erlbaum. [JEC]Google Scholar
Medin, D. L. & Edelson, S. M. (1988) Problem structure and the use ofbase-rate information from experience. Journal of Experimental Psychology: General 117:68–85. [aJRA]Google Scholar
Medin, D. L. & Schaffer, M. M. (1978) Context theory of classification learning. Psychological Review 85:207–38. [aJRA]Google Scholar
Medin, D. L., Altom, M. W., Edelson, S. M. & Freko, D. (1982) Correlated symptoms and simulated medical classification. Journal of Experimental Psychology: Learning, Memory, and Cognition 8:37–50. [aJRA]Google Scholar
Meltzer, H. Y. & Stahl, S. M. (1976) The dopamine hypothesis of schizophrenia: A review. Schizophrenia Bulletin 2: 19–76. [SLS]Google Scholar
Meyer, D. E. & Schvaneveldt, R. W. (1971) Facilitation in recognizing pairsof words: Evidence of a dependence between retrieval operations. Journal of Experimental Psychology 90:227–34. [aJRA]Google Scholar
Meyer, D. E., Smith, J. E. K. & Wright, C. E. (1982) Models for the speedand accuracy of aimed movements. Psychological Review 89:449–82. [GCA]Google Scholar
Meyer, D. E., Abrams, R. A., Kornblum, S., Wright, C. E. & Smith, J. E. K. (1988) Optimality in human motor performance: Ideal control of rapidaimed movements. Psychological Review 95:340–70. [GCA]Google Scholar
Michotte, A. (1946) La perception de la causalité. Vrin. [rJRA]Google Scholar
Moore, E. F. (1956) Gedanken-experiments on sequential machines. In: Automata studies, ed. Shannon, C. E. & McCarthy, J.. Princeton University Press. [DWM]Google Scholar
Mpitsos, G. J., Burton, R. M. & Creech, H. C. (1988) Connection is networks learn to transmit chaos. Brain Research Bulletin 21:539–46. [RAMG]Google Scholar
Murphy, G. L. & Medin, D. L. (1985) The role of theories in conceptual coherence. Psychological Review 92:293–316. [JEC]Google Scholar
Murphy, G. L. & Smith, E. E. (1982) Basic level superiority in picturecategorization. Journal of Verbal Learning and Verbal Behavior 21:1–20. [aJRA]Google Scholar
Neches, R., Langley, P. & Klahr, D. (1987) Production systems, learning, and development. In: Production system models of learning and development, ed. Klahr, D., Langley, P. & Neches, R.. MIT Press. [RLC]Google Scholar
Neely, J. H. (1977) Semantic priming and retrieval from lexical memory: Roles of in hibitionless spreading activation and limited-capacity attention. Journal of Experimental Psychology: General 106:226–54. [aJRA]Google Scholar
Newell, A. (1980) Physical symbol systems. Cognitive Science 4:135–83. [RLC]Google Scholar
Newell, A. (1982) The knowledge level. Artificial Intelligence 18:87–127. [BC]Google Scholar
Newell, A. & Rosenbloom, P. (1981) Mechanisms of skill acquisition and thelaw of practice. In: Cognitive skills and their acquisition, ed. Anderson, J. R.. Erlbaum. [aJRA]Google Scholar
Newell, A. & Simon, H. A. (1972) Human problem solving. Prentice Hall. [JSBTE]Google Scholar
Nisbett, R. E. & Ross, L. (1980) Human inference: Strategies and shortcomings of social judgment. Prentice-Hall. [aJRA]Google Scholar
Nisbett, R. E., Fong, G. T., Lehman, D. R. & Cheng, P. W. (1987) Teaching reasoning. Science 238:625–31. [JB]Google Scholar
Peterson, C. R. & Beach, L. R. (1967) Man as an intuitive statistician. Psychological Bulletin 68:29–46. [JB, JSBTE]Google Scholar
Peterson, C. R. & Uhela, Z. J. (1964) Uncertainty, inference difficulty, andprobability learning. Journal of Experimental Psychology 67:523–30. [JB]Google Scholar
Petruccelli, J. D. (1981) Best-choice problems involving uncertainty ofselection and recall of observations. Journal of Applied Probability 18:415–25. [WS]Google Scholar
Piaget, J. (1970) Genetic epistemology. Columbia University Press. [RLC]Google Scholar
Polya, G. (1954) Mathematics and plausible reasoning. Vol. 2: Patterns of plausible inference. Princeton University Press. [PS]Google Scholar
Posner, M. I. & Keele, S. W. (1968) On the genesis of abstract ideas. Journal of Experimental Psychology 77:353–63. [aJRA]Google Scholar
Prade, H. (1985) A computational approach to approximate and plausible reasoning with applications to expert systems. IEEE Transactions on Pattern Analysis Machine Intelligence 7:260–82. [PS]Google Scholar
Pylyshyn, Z. W. (1984) Computation and cognition. MIT Press. [RLC]Google Scholar
Rachlin, H. (1989) Judgment, decision, and choice: A cognitive/behavioral synthesis. W. H. Freeman. [EF, HR]Google Scholar
Rachlin, H., Battalio, R. C., Kagel, J. H. & Green, L. (1981) Maximization theory in behavioral psychology. Behavioral and Brain Sciences 4:371–88. [aJRA]Google Scholar
Redelmeier, D. A. & Tversky, A. (1990) The aggregate/individualdiscrepancy: Contrasting perspectives in medical care. New England Journal of Medicine (in press). [ES]Google Scholar
Reed, S. K. (1972) Pattern recognition and categorization. Cognitive Psychology 3:382–407. [aJRA]Google Scholar
Riefer, D. M. & Batchelder, W. H. (1988) Multinomial modeling and the measurement of cognitive processes. Psychological Review 95:318–39. [WS]Google Scholar
Rosch, E. (1978) Principles of categorization. In: Cognition and categorization, ed. Rosch, E. & Lloyd, B. B.. Erlbaum. [GG]Google Scholar
Rosch, E., Mervis, C. B., Gray, W., Johnson, D. & Boyes-Braem, P. (1976) Basic objects in natural categories. Cognitive Psychology 7:573–605. [aJRA, JEC]Google Scholar
Rosenbloom, P. S., Laird, J. E. & Newell, A. (1987) SOAR: An architecturefor general intelligence. Artificial Intelligence 33:1–64. [BC]Google Scholar
Rumelhart, D. E. & McClelland, J. L. (1986) Parallel distributed processing: Explorations in the microstructure of cognition. Vol. 1: Foundations. MIT Press. [SLS]Google Scholar
Rumelhart, D. E., Hinton, G. E. & Williams, R. J. (1986) Learninginternal representations by error propagation. In: Parallel distributed processing, vol. 1., ed. Rumelhart, D. E. & McClelland, J. L.. MIT Press. [aJRA]Google Scholar
Rumelhart, D. E.McClelland, J. L. & the PDF Research Group (1986) Parallel distributed processing: Explorations in the microstructure of cognition, vols. 1–2. MIT Press. [KJH]Google Scholar
Russell, S. J. (1986) A quantitative analysis of analogy by similarity. In: Proceedings of the National Conference on Artificial Intelligence, (AAAI). [aJRA]Google Scholar
Salton, G. & McGill, M. J. (1983) Introduction to modern information Philadelphia, PA. American Association for Artificial Intelligence retrieval. McGraw-Hill. [a]RA]Google Scholar
Satyanarayanan, M. (1981) A study of file sizes and functional lifetimes. In: Proceedings of the Eighth Symposium on Operating Systems Principles, Asilomar, CA, December. [aJRA]Google Scholar
Schultz, T. R. (1982) Rules for causal attribution. Monographs of the Society for Research in Child Development 47(1, Serial No. 194). [aJRA]Google Scholar
Schustack, M. W. & Sternberg, R. J. (1981) Evaluation of evidence in causal inference. Journal of Experimental Psychology: General 110:101–20. [aJRA, TRS]Google Scholar
Schwarz, W. (1989) The generalized Bouman-van der Velden quantum coincidence detector. Biological Cybernetics 61:315–18. [WS]Google Scholar
Schwarz, W. (1990) Stochastic accumulation of information in discrete time: Comparing exact results and Wald approximations. Journal of Mathematical Psychology 34:229–36. [WS]Google Scholar
Selman, B. & Kautz, H. (1990) Model-preference default theories. Artificial Intelligence 45:287–322. [JKT]Google Scholar
Selman, B. & Levesque, H. (1989a) Abductive and default reasoning: A computational core. Proceedings of the Eighth National Conference on Artificial Intelligence, Boston, MA. [JKT]Google Scholar
Selman, B. & Levesque, H. (1989b) The tractability of path-based inheritance. Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, Detroit, August. [JKT]Google Scholar
Shackle, G. L. S. (1949) Expectation in economics. Cambridge University Press (Cambridge). [PS]Google Scholar
Shafir, E. B., Osherson, D. N. & Smith, E. E. (1989) An advantage model of choice. Journal of Behavioral Decision Making 2:1–23. [ES]Google Scholar
Shepard, R. N. (1987) Towards a universal law of generalization for psychological science. Science 237:1317–23. [aJRA]Google Scholar
Shepard, R. N. (1989) A law of generalization and connectionist learning. Plenary address to the Cognitive Science Society, Ann Arbor, MI, August 18. [aJRA]Google Scholar
Shimp, C. P. (1966) Probabilistically reinforced choice behavior in pigeons. Journal of the Experimental Analysis of Behavior 9:443–55. [aJRA]Google Scholar
Shultz, T. R. & Ravinsky, F. (1977) Similarity as a principle of causal inference. Child Development 48:1552–58. [TRS]Google Scholar
Simon, H. A. (1955a) A behavioral model of rational choice. Quarterly Journal of Economics 69:99–118. [aJRA, GMB]Google Scholar
Simon, H. A. (1955b) On a class of skew distribution functions. Biometrika 52:425–40. [rJRA]Google Scholar
Simon, H. A. (1982) The sciences of the artificial, 2nd ed. MIT Press. [BC]Google Scholar
Slovic, P. & Lichtenstein, S. (1971) Comparison of Bayesian and regression approaches to the study of information processing in judgment. Organizational Behavior and Human Performance 6:649–744. [RH]Google Scholar
Slovic, P., Fischhoff, B. & Lichtenstein, S. (1977) Behavioral decision theory. Annual Review of Psychology 228:1–39. [JSBTE]Google Scholar
Slovic, P., Fischhoff, B. & Lichtenstein, S. (1978) Accident probabilities and seat belt usage: A psychological perspective. Accident Analysis and Prevention 10:281–85. [ES]Google Scholar
Slovic, P., Fischhoff, B. & Lichtenstein, S. (1982) Response mode, framing and information-processing effects in risk assessment. In: New directions for methodology of social and behavioral science: No. 11. Question framing and response consistency, ed. Hogarth, R.. Jossey-Bass. [ES]Google Scholar
Solnick, J. V., Kanneberg, C. H., Eckerman, D. A. & Waller, M. B. (1980) An experimental analysis of impulsivity and impulse control in humans. Learning and Motivation 11:61–77. [JB]Google Scholar
Spall, J. C. (1988) Bayesian analysis of time series and dynamic models. Marcel Dekker. [RAMG]Google Scholar
Staddon, J. E. R. (1987) Optimality theory and behavior. In: The latest on the best: Essays on evolution and optimality, ed. Dupre, J.. MIT Press. [aJRA, EF]Google Scholar
Stephens, D. W. & Krebs, J. R. (1986) Foraging theory. Princeton University Press. [arJRA]Google Scholar
Stolarz-Fantino, S. & Fantino, E. (1990) Cognition and behavior analysis: Areview of Rachlin's Judgment, decision and choice. Journal of the Experimental Analysis of Behavior 54:317–22. [EF]Google Scholar
Stritter, E. (1977) File migration. Unpub. Ph.D. thesis (STAN-CS-77-594), Stanford University. [aJRA]Google Scholar
Suppes, P. (1984) Probabilistic metaphysics. Basil Blackwell. [aJRA]Google Scholar
Tanner, M. A. & Wong, W. H. (1987) The calculation of posteriordistributions by data augmentation. Journal of the American Statistical Association 82:528–40. [rJRA]Google Scholar
Thagard, P. (1989) Explanatory coherence. Behavioral and Brain Sciences 12:435–67. [KJH]Google Scholar
Thagard, P., Hoiyoak, K. J., Nelson, G. & Gochfeld, D. (1990) Analog retrieval by constraint satisfaction. Artificial Intelligence 46:259–310. [KJH]Google Scholar
Thaler, R. H. (1980) Toward a positive theory of consumer choice. Journal of Economic Behavior and Organization 1:39–60. [ES]Google Scholar
Tierney, L. & Kadane, J. B. (1986) Accurate approximations for posteriormoments and marginal destinies. Journal of the American Statistical Association 81:82–86. [rJRA]Google Scholar
Townsend, J. T. (1971) A note on the identifiability of parallel and serial processes. Perception & Psychophysics 10:161–63. [WS]Google Scholar
Townsend, J. T. & Ashby, F. G. (1983) Stochastic modeling of elemen'tary psychological processes. Cambridge University Press (Cambridge). [WS]Google Scholar
Tsotsos, J. (1989) The complexity of perceptual search tasks. Proceedings ofthe International Joint Conference on Artificial Intelligence, Detroit, August. [JKT]Google Scholar
Tsotsos, J. (1990) Analyzing vision at the complexity level. Behavioral and Brain Sciences 13(3):423–45. [JKT]Google Scholar
Tsotsos, J. (submitted) Active vs. passive visual search: Which is more efficient? International Journal of Computer Vision. [JKT]Google Scholar
Tversky, A. & Kahneman, D. (1980) Causal schemas in judgment underuncertainty. In: Progress in social psychology, vol. 1, ed. Fishbein, M.. Erlbaum. [TRS]Google Scholar
Tsotsos, J. (1982) Evidential impact of base rates. In Judgment under uncertainty: Heuristics and biases, ed. Kahneman, D., Slovic, P. & Tversky, A.. Cambridge University Press. [EF]Google Scholar
Tsotsos, J. (1983) Extension versus intuitive reasoning: The conjunction fallacy in probability judgment. Psychological Review 90:293–315. [DWM]Google Scholar
Von Winterfeldt, D. & Edwards, W. (1986) Decision analysis and behavioural research. Cambridge University Press (Cambridge). [JSBTE]Google Scholar
Vorberg, D. (1977) On the equivalence of parallel and serial models ofinformation processing. Paper presented at the 10th Annual Mathematical Psychology Meeting, Los Angeles, CA. [WS]Google Scholar
Vorberg, D. & Ulrich, R. (1987) Random search with unequal search rates:Serial and parallel generalizations of McGill's model. Journal of Mathematical Psychology 31:1–23. [WS]Google Scholar
Wasserman, E. A. (1990) Attribution of causality to common and distinctiveelements of compound stimuli. Psychological Science 1:298–302. [JB]Google Scholar
White, K. G., McCarthy, D. & Fantino, E. (1989) Cognition and behavioranalysis. Journal of the Experimental Analysis of Behavior 52:197–98. [EF]Google Scholar
Wickelgren, W. A. (1976) Memory storage dynamics. In: Handbook of learning and cognitive processes, ed. Estes, W. K.. Erlbaum. [aJRA]Google Scholar
Wilkie, D. R. (1954) Facts and theories about muscle. Progress in Biophysics and Biophysical Chemistry 4:288–324. [GCA]Google Scholar
Williams, B. A. (1988) Reinforcement, choice, and response strength. In:Stevens's handbook of experimental psychology, ed. Atkinson, R. C., Herrnstein, R. J., Lindzey, G. & Luce, R. D.. Wiley. [aJRA]Google Scholar