A Dynamic Route Finder for the Cognitive Map

Cognitive behaviorist E. C. Tolman (1932) proposed many years ago that rats and men navigate with the aid of cognitive maps, but his theory was incomplete. Critic E. R. Guthrie (1935) pointed out that Tolman's maps lack a rule for action, a route finder. We show that a dynamic model for stimulus generalization based on an elementary diffusion process can reproduce the qualitative properties of spatial orientation in animals: area-restricted search in the open field, finding shortcuts, barrier learning (the Umweg problem), spatial "insight" in mazes, and radial maze behavior. The model provides a behavioristic reader for Tolman's cognitive map. The cognitive behaviorist Edward Tolman spent much of his career devising clever experiments to show that stimulus-response accounts of rat behavior cannot be correct. Some of his most striking demonstrations involve spatial learning. One such example is shown in Figure 1, which depicts a maze apparatus used in a famous experiment by Tolman and Honzik (1930). The maze has three paths from the Start box to the Goal box. The paths differ in length: Path 1 (heavy vertical line) shorter than Path 2 (intermediate line) shorter than Path 3 (light line). In preliminary training, the rats were allowed to become familiar with all three paths to the Goal box. They also had experience with a block at Point A, which permits access to the Goal only via Paths 2 and 3. In the test condition, the block was moved to Point B--so that only Path 3 is open. The question is, Will the rats choose Path 3 as soon as they encounter the block at B, or will they choose Path 2, which is normally preferred to Path 3--indicating that they do not know Paths 1 and 2 share a common, blocked, segment? Tolman and Honzik's rats behaved intelligently and usually went straight to Path 3 after encountering the block at B. Tolman took this as evidence that the rats knew something about the topography of the maze. They were not just operating on a fixed hierarchy of preferences ( "Path 1 better than Path 2 better than Path 3" ), nor were they responding reflexively to local cues. Tolman considered this behavior to be an example of "insight," although he did not specify exactly what that means. He did say that some kind of cognitive map

[1]  Edward Chace Tolman,et al.  "Insight" in rats , 1930 .

[2]  E. Tolman Purposive behavior in animals and men , 1932 .

[3]  C. Warden,et al.  Direction Orientation in Maze Running by the White Rat , 1932 .

[4]  F. W. Irwin Purposive Behavior in Animals and Men , 1932, The Psychological Clinic.

[5]  Calvin Hall,et al.  A study of the rat's behavior in a field : a contribution to method in comparative psychology , 1932 .

[6]  K. Lewin,et al.  Vectors, Cognitive Processes, and Mr. Tolman's Criticism , 1933 .

[7]  R. Laughlin,et al.  Is the Wall-Seeking Tendency in the White Rat an Instinct? , 1934 .

[8]  K. Spence The differential response in animals to stimuli varying within a single dimension. , 1937 .

[9]  C. L. Hull The goal-gradient hypothesis applied to some "field-force' problems in the behavior of young children. , 1938 .

[10]  J. Deese The psychology of learning , 1952 .

[11]  C. Banks The searching behaviour of coccinellid larv , 1954 .

[12]  N. Guttman,et al.  Discriminability and stimulus generalization. , 1956, Journal of experimental psychology.

[13]  C. Burt THE PSYCHOLOGY OF LEARNING , 1958 .

[14]  R. Shepard Stimulus and response generalization: deduction of the generalization gradient from a trace model. , 1958, Psychological review.

[15]  P. L. Carlton Discrimination Learning , 1959, Science.

[16]  N. Guttman,et al.  Stimulus generalization after training on three stimuli: a test of the summation hypothesis. , 1959, Journal of experimental psychology.

[17]  H. M. Hanson Effects of discrimination training on stimulus generalization. , 1959, Journal of experimental psychology.

[18]  J. Deutsch The structural basis of behavior , 1960 .

[19]  H. Hoffman,et al.  Stimulus factors in aversive controls: the generalization of conditioned suppression. , 1961, Journal of the experimental analysis of behavior.

[20]  H. M. Hanson Stimulus generalization following three-stimulus discrimination training. , 1961, Journal of comparative and physiological psychology.

[21]  G. S. Reynolds Behavioral contrast. , 1961, Journal of the experimental analysis of behavior.

[22]  H. Terrace,et al.  Wavelength Generalization after Discrimination Learning with and without Errors , 1964, Science.

[23]  R. Poppen,et al.  STIMULUS GENERALIZATION AND THE RESPONSE-REINFORCEMENT CONTINGENCY. , 1964, Journal of the experimental analysis of behavior.

[24]  E. Fischer Conditioned Reflexes , 1942, American journal of physical medicine.

[25]  E. Menzel Chimpanzee Spatial Memory Organization , 1973, Science.

[26]  B. T. Lett Long delay learning in the T-maze☆ , 1975 .

[27]  D. Olton,et al.  Animal Behavior Processes , 2022 .

[28]  G. Stratton University of California publications in psychology , 1976 .

[29]  F. Gage,et al.  Choice behavior of rats searching for food , 1977 .

[30]  Hank Davis,et al.  Operant-Pavlovian Interactions , 1977 .

[31]  Alan B. Bond,et al.  Optimal foraging in a uniform habitat: The search mechanism of the green lacewing , 1980, Animal Behaviour.

[32]  R. Morris Spatial Localization Does Not Require the Presence of Local Cues , 1981 .

[33]  K. Nakamura Switchover in Searching Behavior of Coccinella septempunctata L. (Coleoptera : Coccinellidae) Caused by Prey Consumption , 1982 .

[34]  M. A. Shah THE INFLUENCE OF PLANT SURFACES ON THE SEARCHING BEHAVIOUR OF COCCINELLID LARVAE , 1982 .

[35]  J. L. Gould,et al.  The Insect Mind: Physics or Metaphysics? , 1982 .

[36]  Donald R. Griffin,et al.  Animal Mind — Human Mind , 1982 .

[37]  J. Krebs,et al.  Evolutionary Ecology of Thinking State of the Art Report , 1982 .

[38]  R. Dale Parallel-arm maze performance of sighted and blind rats: Spatial memory and maze structure , 1982 .

[39]  H. Berg Random Walks in Biology , 2018 .

[40]  J. Staddon Adaptive behavior and learning , 1983 .

[41]  R. D. Harkness,et al.  Central place foraging by an ant (Cataglyphis bicolor Fab.): a model of searching , 1985, Animal Behaviour.

[42]  G. Lynch,et al.  Memory systems of the brain : animal and human cognitive processes , 1985 .

[43]  T. J. Roper,et al.  Spatial learning and discrimination of food patches in the European badger (Meles meles L.) , 1986, Animal Behaviour.

[44]  G. Pierce Search paths of foraging common shrews Sorex araneus , 1987, Animal Behaviour.

[45]  C. Thinus-Blanc,et al.  Cognitive Processes and Spatial Orientation in Animal and Man , 1987 .

[46]  M. Rashotte Behavior in Relation to Objects in Space: Some Historical Perspectives , 1987 .

[47]  N. Chapuis,et al.  Detour and Shortcut Abilities in Several Species of Mammals , 1987 .

[48]  Stephen Grossberg,et al.  The ART of adaptive pattern recognition by a self-organizing neural network , 1988, Computer.

[49]  K. Cheng The vector sum model of pigeon landmark use. , 1989 .

[50]  S. Hampson Connectionistic Problem Solving: Computational Aspects of Biological Learning Steven E. Hampson Birkhäuser, 1990. Sw. fr. 78.00 (iv + 276 pages) ISBN 3 7643 3450 9 , 1990, Trends in Neurosciences.

[51]  S. Grossberg,et al.  The Adaptive Brain , 1990 .

[52]  J E Staddon,et al.  On the dynamics of generalization. , 1990, Psychological review.

[53]  C. Gallistel The organization of learning , 1990 .

[54]  Douglas A. Baxter Book Review$39.00, 276 pp Connectionistic Problem Solving: Computational Aspects of Biological Learning, S.E. Hampson, Birkhauser (1990), ISBN: 0-8176-3450-9 , 1992 .

[55]  E. Tolman,et al.  Studies in spatial learning. I. Orientation and the short-cut. 1946. , 1992, Journal of experimental psychology. General.

[56]  W. K. Honig,et al.  Cognitive Aspects of Stimulus Control , 2018 .

[57]  Nestor A. Schmajuk,et al.  Place Learning and the Dynamics of Spatial Navigation: A Neural Network Approach , 1993, Adapt. Behav..

[58]  R. Morse The Dance Language and Orientation of Bees , 1994 .

[59]  Robert B. Banks Growth and diffusion phenomena : mathematical frameworks and applications , 1994 .

[60]  Mark A. Lewis,et al.  Growth and diffusion phenomena: Mathematical frameworks and applications , 1996 .

[61]  D. Rubin,et al.  One Hundred Years of Forgetting : A Quantitative Description of Retention , 1996 .

[62]  John E. R. Staddon,et al.  MULTIPLE TIME SCALES IN SIMPLE HABITUATION , 1996 .

[63]  W. Timberlake,et al.  Behavior Systems and Learning: From Misbehavior to General Principles , 2019, Contemporary Learning Theories.