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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
14 years 14 days ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
CCIA
2008
Springer
13 years 10 months ago
Using Electronic Institutions for Hospitals Chronic Disease Management and Purchasing System
Use of multi-agent systems (MAS) in health-care domains is increasing. MAS is an appropriate technique for many medical domains due to the characteristics of the problems in this a...
Ashkan Musavi, Maite López-Sánchez, ...
AIME
2005
Springer
14 years 2 months ago
Multi-agent Patient Representation in Primary Care
Though multi-agent systems have been explored in a wide variety of medical settings, their role at the primary care level has been relatively little investigated. In this paper, we...
Chris Reed, Brian Boswell, Ron Neville
CHI
2007
ACM
14 years 9 months ago
Transfer scenarios: grounding innovation with marginal practices
Transfer scenarios is a method developed to support the design of innovative interactive technology. Such a method should help the designer to come up with inventive ideas, and at...
Sara Ljungblad, Lars Erik Holmquist
CHI
2005
ACM
14 years 9 months ago
Understanding email use: predicting action on a message
Email consumes significant time and attention in the workplace. We conducted an organizational survey to understand how and why people attend to incoming email messages. We examin...
Laura A. Dabbish, Robert E. Kraut, Susan R. Fussel...