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» Patient Journey Optimization using a Multi-agent Approach
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AIME
2005
Springer
14 years 29 days ago
AI Planning Technology as a Component of Computerised Clinical Practice Guidelines
The UK National Health Service (NHS) is currently undergoing an intensive review into the way patient care is designed, delivered and recorded. One important element of this is the...
Kirsty Bradbrook, Graham Winstanley, David Glasspo...
AAAI
2010
13 years 8 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
JNW
2008
164views more  JNW 2008»
13 years 7 months ago
Improving Multi-Agent Based Resource Coordination in Peer-to-Peer Networks
The distributed nature of peer-to-peer networks offers a solid ground for the deployment of environments where multiple agents, managing several resources, can cooperate in pursuin...
António Luis Lopes, Luís Miguel Bote...
HICSS
2003
IEEE
207views Biometrics» more  HICSS 2003»
14 years 21 days ago
Formalizing Multi-Agent POMDP's in the context of network routing
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
Bharaneedharan Rathnasabapathy, Piotr J. Gmytrasie...
AGENTS
1999
Springer
13 years 11 months ago
General Principles of Learning-Based Multi-Agent Systems
We consider the problem of how to design large decentralized multiagent systems (MAS’s) in an automated fashion, with little or no hand-tuning. Our approach has each agent run a...
David Wolpert, Kevin R. Wheeler, Kagan Tumer