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Abstract: Stimulus response learning combines the concept of evolutionary algorithms and an improved version of a known approach of machine learning, namely the schema mechanism of Gary L. Drescher. It permits systems with sensors and effectors, so-called animats, to explore and internally model an environment. (Update)
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BibTeX entry: (Update)
@misc{ learning-submitted,
author = "Stimulus Response Learning",
title = "submitted to Machine Learning, , 1--25 () c",
url = "citeseer.ist.psu.edu/765835.html" }
Citations (may not include all citations):471 Genetic programming - Koza - 1992
246 Genetic Algorithms in Search Optimization and Machine Learni.. - Goldberg - 1989
245 Artificial Intelligence through Simulated Evolution (context) - Fogel, Owens et al. - 1966
229 Evolutionsstrategie: Optimierung technischer Systeme nach Pr.. (context) - Rechenberg - 1973
214 Adaption in Natural and Artificial Systems (context) - Holland - 1975
90 The animat path to ai - Wilson - 1991
85 Genetic programming II (context) - Koza - 1994
10 Numerische Optimierung von Computer-Modellen mittels der Evo.. (context) - Schwefel - 1977
8 A constructivist approach to artificial intelligence (context) - Drescher - 1991
7 Learning geometric concepts with an evolutionary algorithm - Birk - 1996
3 Gesammelte Werke (context) - Piaget - 1991
3 Plans and the structure of behavior (context) - George, Eugene - 1960
1 black are ignored (context) - precisely, the et al.
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