{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T05:44:25Z","timestamp":1740807865822,"version":"3.38.0"},"reference-count":56,"publisher":"SAGE Publications","issue":"3-4","license":[{"start":{"date-parts":[[1996,3,1]],"date-time":"1996-03-01T00:00:00Z","timestamp":825638400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Adaptive Behavior"],"published-print":{"date-parts":[[1996,3]]},"abstract":"<jats:p> The structure of an environment affects the behaviors of the organisms that have evolved in it. How is that structure to be described, and how can its behavioral consequences be explained and predicted? We aim to establish initial answers to these questions by simulating the evolution of very simple organisms in simple environments with different structures. Our artificial creatures, called \"minimats, \"have neither sensors nor memory and behave solely by picking amongst the actions of moving, eating, reproducing, and sitting, according to an inherited probability distribution. Our simulated environments contain only food (and multiple minimats) and are structured in terms of their spatial and temporal food density and the patchiness with which the food appears. Changes in these environmental parameters affect the evolved behaviors of minimats in different ways, and all three parameters are of importance in describing the minimat world. One of the most useful behavioral strategies that evolves is \"looping\" movement, which allows minimats-despite their lack of internal state\u2014to match their behavior to the temporal (and spatial) structure of their environment. Ultimately we find that minimats construct their own environments through their individual behaviors, making the study of the impact of global environment structure on individual behavior much more complex. <\/jats:p>","DOI":"10.1177\/105971239600400306","type":"journal-article","created":{"date-parts":[[2007,3,18]],"date-time":"2007-03-18T01:21:19Z","timestamp":1174180879000},"page":"365-413","source":"Crossref","is-referenced-by-count":4,"title":["Environmental Effects on Minimal Behaviors in the Minimat World"],"prefix":"10.1177","volume":"4","author":[{"given":"Peter M.","family":"Todd","sequence":"first","affiliation":[{"name":"Center for Adaptive Behavior and Cognition, Max Planck Institute for Psychological Research, Leopoldstrasse 24, 80802 Munich, Germany"}]},{"given":"Holly A.","family":"Yanco","sequence":"additional","affiliation":[{"name":"MIT Artificial Intelligence Laboratory, 545 Technology Square, Room 705, Cambridge, MA 02139, USA"}]}],"member":"179","published-online":{"date-parts":[[1996,3,1]]},"reference":[{"key":"atypb1","unstructured":"Ackley, D. & Littman, M. 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(1992). Evolution as a theme in artificial life: The Genesys\/Tracker system. In C. G. Langton, C. Taylor, J. D. Farmer, & S. Rasmussen (Eds.), Artificial life II (pp. 549-578). Reading, MA: Addison-Wesley ."},{"key":"atypb24","doi-asserted-by":"publisher","DOI":"10.1126\/science.273.5274.431"},{"issue":"3","key":"atypb25","first-page":"405","volume":"4","author":"Kirsh, D.","year":"1996","journal-title":"Adaptive Behavior"},{"key":"atypb26","unstructured":"Koza, J.R. (1992). Genetic evolution and co-evolution of computer programs. In C. G. Langton, C. Taylor , J. D. Farmer , & S. Rasmussen (Eds.), Artificial life II (pp. 603-629). 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