Artificial organisms as tools for the development of psychological theory: Tolman’s lesson

In the 1930s and 1940s, Edward Tolman developed a psychological theory of spatial orientation in rats and humans. He expressed his theory as an automaton (the “schematic sowbug”) or what today we would call an “artificial organism.” With the technology of the day, he could not implement his model. Nonetheless, he used it to develop empirical predictions which tested with animals in the laboratory. This way of proceeding was in line with scientific practice dating back to Galileo. The way psychologists use artificial organisms in their work today breaks with this tradition. Modern “artificial organisms” are constructed a posteriori, working from experimental or ethological observations. As a result, researchers can use them to confirm a theoretical model or to simulate its operation. But they make no contribution to the actual building of models. In this paper, we try to return to Tolman’s original strategy: implementing his theory of “vicarious trial and error” in a simulated robot, forecasting the robot’s behavior and conducting experiments that verify or falsify these predictions.

[1]  Orazio Miglino,et al.  Evolving an action-based mechanism for the interpretation of geometrical clues during robot navigation , 2004, Connect. Sci..

[2]  E. Tolman,et al.  VTE in rats: overlearning and difficulty of discrimination. , 1942 .

[3]  Jacques Loeb,et al.  The Mechanistic Conception of Life; Biological Essays , 2007 .

[4]  B. Webb What does robotics offer animal behaviour? , 2000, Animal Behaviour.

[5]  Christopher Assad,et al.  Introduction to the Special Issue on Biomorphic Robotics , 2001, Auton. Robots.

[6]  H. Roitblat,et al.  Comparative approaches to cognitive science , 1995 .

[7]  A. Clark,et al.  Adaptive Behavior , 2007 .

[8]  Jeffrey Meyer The animat approach to cognitive science , 1994 .

[9]  Norbert Wiener,et al.  Cybernetics: Control and Communication in the Animal and the Machine. , 1949 .

[10]  F. Heider,et al.  Principles of topological psychology , 1936 .

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

[12]  Andy Clark,et al.  Towards a Cognitive Robotics , 1999, Adapt. Behav..

[13]  Ronald C. Arkin,et al.  Implementing Tolman's schematic sowbug: behavior-based robotics in the 1930's , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[14]  Jeffrey L. Krichmar,et al.  Evolutionary robotics: The biology, intelligence, and technology of self-organizing machines , 2001, Complex..

[15]  Ronald C. Arkin,et al.  An Behavior-based Robotics , 1998 .

[16]  V. Braitenberg Vehicles, Experiments in Synthetic Psychology , 1984 .

[17]  Christian Balkenius,et al.  Proceedings of the Third International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems. , 2004 .

[18]  Robert B. Johnston,et al.  Situated Action, Stucturation and Actor-Network Theory: An Integrative Theoretical Perspective , 2001, ECIS.

[19]  E. Tolman Purpose and cognition: the determiners of animal learning. , 1925 .

[20]  E. Tolman Prediction of vicarious trial and error by means of the schematic sowbug. , 1939 .

[21]  K. Lashley,et al.  Visual discrimination of size and form in the albino rat. , 1912 .

[22]  H. Blum AN ANALYSIS OF ORIENTED MOVEMENTS OF ANIMALS IN LIGHT FIELDS , 1935 .

[23]  J. G. Taylor,et al.  Vicarious trial and error. , 1951, Psychological review.

[24]  Barbara Webb,et al.  Physical and Temporal Scaling Considerations in a Robot Model of Cricket Calling Song Preference , 1997, Artificial Life.

[25]  E. Tolman Discrimination vs. learning and the schematic sowbug. , 1941 .