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» Introduction to Multi-Agent Simulation
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AIIDE
2006
14 years 11 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
AMAI
2004
Springer
14 years 9 months ago
Rapid Prototyping of Large Multi-Agent Systems Through Logic Programming
Prototyping is a valuable technique to help software engineers explore the design space while gaining insight on the dynamics of the system. In this paper, we describe a method for...
Wamberto Weber Vasconcelos, David Stuart Robertson...
WSCG
2004
148views more  WSCG 2004»
14 years 11 months ago
Visualization of Dynamic Behaviour of Multi-Agent Systems
The extension of our research on analysis of a single agent or agent communities combining advanced methods of visualization with traditional AI techniques is presented in this pa...
David Rehor, Pavel Slavík, David Kadlecek, ...
AIPS
2003
14 years 11 months ago
A Multi-Agent System-driven AI Planning Approach to Biological Pathway Discovery
As genomic and proteomic data is collected from highthroughput methods on a daily basis, subcellular components are identified and their in vitro behavior is characterized. Howev...
Salim Khan, William Gillis, Carl Schmidt, Keith De...
AGENTS
2001
Springer
15 years 2 months ago
Terrain coverage with ant robots: a simulation study
In this paper, we study a simple means for coordinating teams of simple agents. In particular, we study ant robots and how they can cover terrain once or repeatedly by leaving mar...
Sven Koenig, Yaxin Liu