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» Introduction to Multi-Agent Simulation
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AIIDE
2006
13 years 9 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
13 years 7 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»
13 years 9 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
13 years 9 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
14 years 4 days 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