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AIIDE
2008
15 years 6 months ago
Combining Model-Based Meta-Reasoning and Reinforcement Learning for Adapting Game-Playing Agents
Human experience with interactive games will be enhanced if the software agents that play the game learn from their failures. Techniques such as reinforcement learning provide one...
Patrick Ulam, Joshua Jones, Ashok K. Goel
AIPS
1994
15 years 5 months ago
Adapting Routines to Improve Task Coordination
Humanagents typically evolve a set of standard routines for carrying out often-repeated tasks. These routines effectively compile knowledgeabout howto carry out sets of interactin...
Michael Freed, Gregg Collins
DSS
2008
83views more  DSS 2008»
15 years 4 months ago
Knowledge discovery for adaptive negotiation agents in e-marketplaces
Intelligent software agents are promising in improving the effectiveness of e-marketplaces for e-commerce. Although a large amount of research has been conducted to develop negoti...
Raymond Y. K. Lau, Yuefeng Li, Dawei Song, Ron Chi...
ESWA
2008
96views more  ESWA 2008»
15 years 4 months ago
samap: An user-oriented adaptive system for planning tourist visits
In this paper, we present samap, whose goal is to build a software tool to help different people visit different cities. This tool integrates modules that dynamically capture user...
Luis A. Castillo, Eva Armengol, Eva Onaindia, Laur...
OOPSLA
2010
Springer
15 years 2 months ago
Component adaptation and assembly using interface relations
Software’s expense owes partly to frequent reimplementation of similar functionality and partly to maintenance of patches, ports or components targeting evolving interfaces. Mor...
Stephen Kell