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» Multiagent diffusion and distributed optimization
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GECCO
2006
Springer
291views Optimization» more  GECCO 2006»
15 years 1 months ago
Modular thinking: evolving modular neural networks for visual guidance of agents
This paper investigates whether replacing non-modular artificial neural network brains of visual agents with modular brains improves their ability to solve difficult tasks, specif...
Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
GECCO
2008
Springer
149views Optimization» more  GECCO 2008»
14 years 10 months ago
Real-time imitation-based adaptation of gaming behaviour in modern computer games
In the course of the recent complexification and sophistication of commercial computer games, the creation of competitive artificial players that are able to behave intelligentl...
Steffen Priesterjahn, Alexander Weimer, Markus Ebe...
GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
14 years 10 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
ATAL
2007
Springer
15 years 3 months ago
F-trade: an agent-mining symbiont for financial services
The interaction and integration of agent technology and data mining presents prominent benefits to solve some of challenging issues in individual areas. For instance, data mining ...
Longbing Cao, Chengqi Zhang
ATAL
2008
Springer
14 years 11 months ago
Trading off solution cost for smaller runtime in DCOP search algorithms
Distributed Constraint Optimization (DCOP) is a key technique for solving multiagent coordination problems. Unfortunately, finding minimal-cost DCOP solutions is NP-hard. We there...
William Yeoh, Sven Koenig, Xiaoxun Sun