MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES
We have simulated the behavior of several arti cial ies, interacting visually with each other. Each y is described by a simple tracking system (Poggio and Reichardt, 1973; Land and Collett, 1974) which summarizes behavioral experiments in which individual ies xate a target. Our main nding is that the interaction of these simple modules gives rise to a variety of relatively complex behaviors. In particular, we observe a swarm-like behavior of a group of many arti cial ies for certain reasonable ranges of our tracking system parameters. Copyright c Massachusetts Institute of Technology, 1994 This report describes research done at the Arti cial Intelligence Laboratory and within the Center for Biological and Computational Learning in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology. This research is sponsored by grants from ONR under contract N00014-93-1-0385 and from ARPA-ONR under contract N00014-92-J-1879; and by a grant from the National Science Foundation under contract ASC-9217041 (this award includes funds from ARPA provided under the HPCC program). Additional support is provided by the North Atlantic Treaty Organization, ATR Audio and Visual Perception Research Laboratories, Mitsubishi Electric Corporation, Sumitomo Metal Industries, and Siemens AG. Support for the A.I. Laboratory's arti cial intelligence research is provided by ARPA-ONR contract N00014-91-J-4038. Tomaso Poggio is supported by the Uncas and Helen Whitaker Chair at MIT's Whitaker College. Martino Poggio is with the Roxbury Latin School, St. Theresa Ave., West Roxbury, MA