Emergence of Memory-like Behavior in Reactive Agents Using External Markers

Early primitive animals with simple feed-forward neuronal circuits were limited to reactive behavior. Through evolution, they were gradually equipped with memory and became able to utilize information from the past. Such memory is usually implemented with recurrent connections and certain behavioral changes are thought to precede the reconstitution of the neuronal circuit’s topology. If so, what could have been the behavior to drive such a rewiring? Our hypothesis is that the secretion and detection of chemical markers in the environment could be a precursor of internal memory. We will show how memory-like behavior can be expressed in memoryless reactive agents by taking advantage of the external chemical markers. Our results show that given chemical marker use, reactive agents are able to develop intelligent strategies in solving a biologicaly plausible food foraging task requiring spatial memory. We also found interesting analogy between the evaporation of the chemical markers and the recency effect in memory and how it affects the foraging strategy. These results are expected to help us better understand the possible evolutionary route from reactive to cognitive agents.

[1]  A. Baddeley,et al.  The recency effect: Implicit learning with explicit retrieval? , 1993, Memory & cognition.

[2]  Anders Krogh,et al.  Introduction to the theory of neural computation , 1994, The advanced book program.

[3]  E. Menzel Animal Tool Behavior: The Use and Manufacture of Tools by Animals, Benjamin B. Beck. Garland STPM Press, New York and London (1980), 306, Price £24.50 , 1981 .

[4]  M. Matarić Behavior-based robotics as a tool for synthesis of artificial behavior and analysis of natural behavior , 1998, Trends in Cognitive Sciences.

[5]  J. Mann,et al.  Cultural transmission of tool use in bottlenose dolphins. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[6]  O. J. Reichman,et al.  The Evolution of Food Caching by Birds and Mammals , 1984 .

[7]  Tucker R. Balch,et al.  Avoiding the past: a simple but effective strategy for reactive navigation , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

[8]  Raymond B Huey,et al.  Behavioral Drive versus Behavioral Inertia in Evolution: A Null Model Approach , 2003, The American Naturalist.

[9]  Tom Ziemke,et al.  Evolving cognitive scaffolding and environment adaptation: a new research direction for evolutionary robotics , 2004, Connect. Sci..

[10]  Luis Mateus Rocha Eigenbehavior and symbols , 1996 .

[11]  A. Skutch,et al.  DO TROPICAL BIRDS REAR AS MANY YOUNG AS THEY CAN NOURISH , 2008 .

[12]  W. Wcislo BEHAVIORAL ENVIRONMENTS AND EVOLUTIONARY CHANGE , 1989 .

[13]  Sabine Tebbich,et al.  The ecology of tool-use in the woodpecker finch (Cactospiza pallida) , 2002 .

[14]  David Chapman,et al.  Pengi: An Implementation of a Theory of Activity , 1987, AAAI.

[15]  Sanjay Chandrasekharan,et al.  Reactive Agents Learn to Add Epistemic Structures to the World , 2004 .

[16]  Yoonsuck Choe,et al.  Evolution of recollection and prediction in neural networks , 2009, 2009 International Joint Conference on Neural Networks.

[17]  Marco Dorigo,et al.  Ant colony optimization theory: A survey , 2005, Theor. Comput. Sci..