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CONTEXT
2001
Springer
14 years 1 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
IROS
2008
IEEE
165views Robotics» more  IROS 2008»
14 years 3 months ago
Mutual development of behavior acquisition and recognition based on value system
Abstract. Both self-learning architecture (embedded structure) and explicit/implicit teaching from other agents (environmental design issue) are necessary not only for one behavior...
Yasutake Takahashi, Yoshihiro Tamura, Minoru Asada
JAIHC
2010
147views more  JAIHC 2010»
13 years 7 months ago
Agents and ambient intelligence: case studies
The significance that ambient intelligence (AmI) has acquired in recent years requires the development of innovative solutions. In this sense, the development of AmI-based systems...
Dante I. Tapia, Ajith Abraham, Juan M. Corchado, R...
ENGL
2007
136views more  ENGL 2007»
13 years 9 months ago
Multilayered Evolutionary Architecture for Behaviour Arbitration in Cognitive Agents
— In this work, an hybrid, self-configurable, multilayered and evolutionary subsumption architecture for cognitive agents is developed. Each layer of the multilayered architectur...
Oscar Javier Romero López
VISUALIZATION
1993
IEEE
14 years 1 months ago
GRASPARC: A Problem Solving Environment Integrating Computation and Visualization
Visualization has proved an e ective tool in the understanding of large data sets in computational science and engineering. There is growing interest today in the development of p...
Ken Brodlie, A. Poon, Helen Wright, L. Brankin, G....