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GECCO
2006
Springer
175views Optimization» more  GECCO 2006»
15 years 1 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...
85
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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 1 months ago
Genetic algorithms for positioning and utilizing sensors in synthetically generated landscapes
Positioning multiple sensors for acquisition of a a given environment is one of the fundamental research areas in various fields, such as military scouting, computer vision and ro...
Haluk Topcuoglu, Murat Ermis
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 1 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
79
Voted
ITS
2000
Springer
137views Multimedia» more  ITS 2000»
15 years 1 months ago
Design Principles for a System to Teach Problem Solving by Modelling
This paper presents an approach to the design of a learning environment in a mathematical domain (elementary combinatorics) where problem solving is based more on modelling than o...
Gérard Tisseau, Hélène Giroir...
EATIS
2009
ACM
15 years 1 months ago
Agent based smart house platform with affective control
In this paper, we describe our work in developing an agent based smart house platform using TAOM4E development methodology and the JADE-platform with the Jadex-extension. In order...
Kuderna-Iulian Benta, Amalia Hoszu, Lucia Vacariu,...