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APIN
2006
142views more  APIN 2006»
15 years 6 months ago
Achieving dynamic, multi-commander, multi-mission planning and execution
The Multi-Agent Distributed Goal Satisfaction (MADGS) system facilitates distributed mission planning and execution in complex dynamic environments with a focus on distributed goal...
Eugene Santos, Scott A. DeLoach, Michael T. Cox
CGF
2007
133views more  CGF 2007»
15 years 6 months ago
Pedestrian Reactive Navigation for Crowd Simulation: a Predictive Approach
This paper addresses the problem of virtual pedestrian autonomous navigation for crowd simulation. It describes a method for solving interactions between pedestrians and avoiding ...
Sébastien Paris, Julien Pettré, St&e...
IJVR
2008
119views more  IJVR 2008»
15 years 6 months ago
Agent-based Intelligence Decision Support System for Virtual Greenhouse
In facility agriculture, it is an urgent problem to design and choose the type and facility of greenhouse based on user's requirements, which are always difficult to express c...
Wei Wei, Xinyu Guo, Shenglian Lu, Chunjiang Zhao
CORR
2007
Springer
73views Education» more  CORR 2007»
15 years 6 months ago
Universal Reinforcement Learning
—We consider an agent interacting with an unmodeled environment. At each time, the agent makes an observation, takes an action, and incurs a cost. Its actions can influence futu...
Vivek F. Farias, Ciamac Cyrus Moallemi, Tsachy Wei...
JDS
2006
44views more  JDS 2006»
15 years 6 months ago
Multiagent Matching Algorithms with and without Coach
The concept of "agent" has been used to describe many different artefacts: software programs, mobile robots, or even human beings. In a system consisting of many agents, ...
Frieder Stolzenburg, Jan Murray, Karsten Sturm