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» A Psychogenetic Algorithm for Behavioral Sequence Learning
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GECCO
2000
Springer
101views Optimization» more  GECCO 2000»
13 years 11 months ago
Evolutionary Design of Behaviors for Action-Based Environment Modeling by a Mobile Robot
This paper describes an evolutionary way to acquire behaviors of a mobile robot for recognizing environments. We have proposed AEM (Action-based Environment Modeling) approach for...
Seiji Yamada
TACAS
2007
Springer
117views Algorithms» more  TACAS 2007»
14 years 1 months ago
Replaying Play In and Play Out: Synthesis of Design Models from Scenarios by Learning
This paper is concerned with bridging the gap between requirements, provided as a set of scenarios, and conforming design models. The novel aspect of our approach is to exploit lea...
Benedikt Bollig, Joost-Pieter Katoen, Carsten Kern...
GECCO
2006
Springer
175views Optimization» more  GECCO 2006»
13 years 11 months ago
A computational theory of adaptive behavior based on an evolutionary reinforcement mechanism
Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
J. J. McDowell, Paul L. Soto, Jesse Dallery, Saule...
COLT
2003
Springer
14 years 19 days ago
Sequence Prediction Based on Monotone Complexity
This paper studies sequence prediction based on the monotone Kolmogorov complexity Km=−log m, i.e. based on universal deterministic/one-part MDL. m is extremely close to Solomon...
Marcus Hutter
AI
1998
Springer
13 years 7 months ago
Worst-Case Analysis of the Perceptron and Exponentiated Update Algorithms
The absolute loss is the absolute difference between the desired and predicted outcome. This paper demonstrates worst-case upper bounds on the absolute loss for the Perceptron le...
Tom Bylander