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» Biological Metaphors for Agent Behavior
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APIN
2006
136views more  APIN 2006»
13 years 5 months ago
Cell modeling with reusable agent-based formalisms
Biologists are building increasingly complex models and simulations of cells and other biological entities, and are looking at alternatives to traditional representations. Making ...
Ken Webb, Tony White
ICRA
2009
IEEE
109views Robotics» more  ICRA 2009»
14 years 4 days ago
Self-adapting modular robotics: A generalized distributed consensus framework
Abstract— Biological systems achieve amazing adaptive behavior with local agents performing simple sensing and actions. Modular robots with similar properties can potentially ach...
Chih-Han Yu, Radhika Nagpal
GECCO
2004
Springer
113views Optimization» more  GECCO 2004»
13 years 11 months ago
Implications of Epigenetic Learning Via Modification of Histones on Performance of Genetic Programming
Extending the notion of inheritable genotype in genetic programming (GP) from the common model of DNA into chromatin (DNA and histones), we propose an approach of embedding in GP a...
Ivan Tanev, Kikuo Yuta
NECO
2007
150views more  NECO 2007»
13 years 5 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
BMCBI
2008
126views more  BMCBI 2008»
13 years 5 months ago
Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution
Background: In gene expression analysis, statistical tests for differential gene expression provide lists of candidate genes having, individually, a sufficiently low p-value. Howe...
Stefano Moretti, Danitsja van Leeuwen, Hans Gmuend...