{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T04:07:09Z","timestamp":1777522029470,"version":"3.51.4"},"reference-count":30,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[1993,9,1]],"date-time":"1993-09-01T00:00:00Z","timestamp":746841600000},"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":[[1993,9]]},"abstract":"<jats:p>A brain model-based alternative to reinforcement learning is presented that integrates artificial neural networks and knowledge-based systems into one unit or agent for goal-oriented problem solving. The agent may possess inherited and learned artificial neural networks and knowledge-based subsystems. The agent has and develops ANN cues to the environment for dimensionality reduction (data compression) to ease the problem of combinatorial explosion. Here, a dynamical concept model is put forward that builds cue models of the phenomena in the world, designs dynamical action sets (concepts), and makes them compete in a spreading-activation neural stage to reach decision. The agent works under closed-loop control. Here we examine a simple robotlike object in a two-dimensional conditionally probabilistic space.<\/jats:p>","DOI":"10.1177\/105971239300200202","type":"journal-article","created":{"date-parts":[[2007,3,11]],"date-time":"2007-03-11T01:45:25Z","timestamp":1173577525000},"page":"131-160","source":"Crossref","is-referenced-by-count":7,"title":["Behavior of an Adaptive Self-organizing Autonomous Agent Working with Cues and Competing Concepts"],"prefix":"10.1177","volume":"2","author":[{"given":"Csaba","family":"Szepesv\u00e1ri","sequence":"first","affiliation":[{"name":"J\u00e0nos Bolyai Institute of Mathematics"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andr\u00e0s","family":"L\u00f3rincz","sequence":"additional","affiliation":[{"name":"Hungarian Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[1993,9,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1109\/31.56087"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1049\/el:19870416"},{"key":"atypb3","volume-title":"Proceedings of the Fourth International Workshop on Machine Learning","author":"Anderson, C.W."},{"key":"atypb4","volume-title":"Real-time learning and control using asynchronous dynamic programming (Tech. 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