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GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
13 years 11 months ago
Neuro-evolution for a gathering and collective construction task
In this paper we apply three Neuro-Evolution (NE) methods as controller design approaches in a collective behavior task. These NE methods are Enforced Sub-Populations, MultiAgent ...
D. W. F. van Krevelen, Geoff S. Nitschke
IAT
2005
IEEE
14 years 3 months ago
Real-time Cooperative Multi-target Tracking by Dense Communication among Active Vision Agents
We have proposed a real-time multi-target tracking system by cooperative behaviors of Active Vision Agents (AVAs), where an AVA is a logical model of a networkconnected computer w...
Norimichi Ukita
IAT
2003
IEEE
14 years 3 months ago
Modeling Agent-Based Load Balancing with Time Delays
In grid computing, agent-based load balancing is one of the most important problems. In this paper, we present a macroscopic model to describe the dynamics of agent-based load bal...
Yuanshi Wang, Jiming Liu, Xiaolong Jin
ECAI
2006
Springer
14 years 1 months ago
Strategic Foresighted Learning in Competitive Multi-Agent Games
We describe a generalized Q-learning type algorithm for reinforcement learning in competitive multi-agent games. We make the observation that in a competitive setting with adaptive...
Pieter Jan't Hoen, Sander M. Bohte, Han La Poutr&e...
ATAL
2009
Springer
13 years 11 months ago
Implementing Collective Obligations in Human-Agent Teams Using KAoS Policies
Obligations can apply to individuals, either severally or collectively. When applied severally, each individual or member of a team is independently responsible to fulfill the obli...
Jurriaan van Diggelen, Jeffrey M. Bradshaw, Matthe...