Purposive behavior and cognitive mapping: a neural network model

This study presents a real-time, biologically plausible neural network approach to purposive behavior and cognitive mapping. The system is composed of (a) an action system, consisting of a goal-seeking neural mechanism controlled by a motivational system; and (b) a cognitive system, involving a neural cognitive map. The goal-seeking mechanism displays exploratory behavior until either (a) the goal is found or (b) an adequate prediction of the goal is generated. The cognitive map built by the network is a top logical map, i.e., it represents only the adjacency, but not distances or directions, between places. The network has recurrent and non-recurrent properties that allow the reading of the cognitive map without modifying it. Two types of predictions are introduced: fast-time and real-time predictions. Fast-time predictions are produced in advance of what occurs in real time, when the information stored in the cognitive map is used to predict the remote future. Real-time predictions are generated simultaneously with the occurrence of environmental events, when the information stored in the cognitive map is being updated. Computer simulations show that the network successfully describes latent learning and detour behavior in rats. In addition, simulations demonstrate that the network can be applied to problem-solving paradigms such as the Tower of Hanoi puzzle.

[1]  T. Sejnowski,et al.  Associative long-term depression in the hippocampus induced by hebbian covariance , 1989, Nature.

[2]  N. Schmajuk Role of the hippocampus in temporal and spatial navigation An adaptive neural network , 1990, Behavioural Brain Research.

[3]  S. Kelso,et al.  Hebbian synapses in hippocampus. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

[4]  E. Hilgard,et al.  Theories of Learning , 1981 .

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

[6]  N. Mackintosh The psychology of animal learning , 1974 .

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

[8]  H. Blodgett,et al.  The effect of the introduction of reward upon the maze performance of rats , 1929 .

[9]  Steven E. Hampson,et al.  Connectionistic Problem Solving , 1990, Birkhäuser Boston.

[10]  S. Grossberg A neural model of attention, reinforcement and discrimination learning. , 1975, International review of neurobiology.

[11]  B. Skinner,et al.  Principles of Behavior , 1944 .

[12]  A. Hill The Basis of Sensation: the Action of the Sense Organs , 1929, Nature.

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

[14]  M. Arbib,et al.  Multiple representations of space underlying behavior , 1982, Behavioral and Brain Sciences.

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

[16]  N. Maier,et al.  Reasoning in White Rats , 1931 .

[17]  C. Gallistel The Organization of Action: A New Synthesis , 1982 .

[18]  Adrian edgar douglas The basis of sensation: the action of the sense organs. , 1964 .