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» Learning to Coordinate Behaviors
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GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
15 years 10 months ago
Controlling Effective Introns for Multi-Agent Learning by Genetic Programming
This paper presents the emergence of the cooperative behavior for multiple agents by means of Genetic Programming (GP). For the purpose of evolving the effective cooperative behav...
Hitoshi Iba, Makoto Terao
ROBOCUP
1998
Springer
156views Robotics» more  ROBOCUP 1998»
15 years 10 months ago
Cooperative Behavior Acquisition in a Multiple Mobile Robot Environment by Co-evolution
Co-evolution has been receiving increased attention as a method for multi agent simultaneous learning. This paper discusses how multiple robots can emerge cooperative behaviors thr...
Eiji Uchibe, Masateru Nakamura, Minoru Asada
GECCO
2000
Springer
101views Optimization» more  GECCO 2000»
15 years 10 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
AAAI
2010
15 years 6 months ago
The Boosting Effect of Exploratory Behaviors
Active object exploration is one of the hallmarks of human and animal intelligence. Research in psychology has shown that the use of multiple exploratory behaviors is crucial for ...
Jivko Sinapov, Alexander Stoytchev
SICHERHEIT
2010
15 years 4 months ago
A Malware Instruction Set for Behavior-Based Analysis
We introduce a new representation for monitored behavior of malicious software called Malware Instruction Set (MIST). The representation is optimized for effective and efficient a...
Philipp Trinius, Carsten Willems, Thorsten Holz, K...