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» Learning to Optimize Plan Execution in Information Agents
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ICAIL
2007
ACM
14 years 17 days ago
An implementation of norm-based agent negotiation
In this paper, we develop our previous outline of a multi-agent architecture for regulated information exchange in crime investigations. Interactions about information exchange be...
Pieter Dijkstra, Henry Prakken, Kees de Vey Mestda...
EURONGI
2005
Springer
14 years 2 months ago
An Afterstates Reinforcement Learning Approach to Optimize Admission Control in Mobile Cellular Networks
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
José Manuel Giménez-Guzmán, J...
BIRTHDAY
2005
Springer
14 years 2 months ago
Towards Comprehensive Computational Models for Plan-Based Control of Autonomous Robots
In this paper we present an overview of recent developments in the plan-based control of autonomous robots. We identify computational principles that enable autonomous robots to a...
Michael Beetz
CIA
2007
Springer
14 years 2 months ago
Agent Behavior Alignment: A Mechanism to Overcome Problems in Agent Interactions During Runtime
When two or more agents interacting, their behaviors are not necessarily matching. Automated ways to overcome conicts in the behavior of agents can make the execution of interacti...
Gerben G. Meyer, Nicolae B. Szirbik
GECCO
2010
Springer
212views Optimization» more  GECCO 2010»
14 years 1 months ago
Generative and developmental systems
This paper argues that multiagent learning is a potential “killer application” for generative and developmental systems (GDS) because key challenges in learning to coordinate ...
Kenneth O. Stanley