Sciweavers

2747 search results - page 253 / 550
» Non-oblivious Strategy Improvement
Sort
View
HCI
2007
15 years 1 months ago
Suppressing Competition in a Computer-Supported Collaborative Learning System
The purpose of this study is to explore how student competition using the tit-for-tat strategy could be remedied with a minimum design change in order to support student to collabo...
Kwangsu Cho, Bosung Kim
FLAIRS
2004
15 years 1 months ago
Semi-Supervised Sequence Classification with HMMs
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
Shi Zhong
IJCAI
1997
15 years 1 months ago
Exploration and Adaptation in Multiagent Systems: A Model-based Approach
Agents that operate in a multi-agent system can benefit significantly from adapting to other agents while interacting with them. This work presents a general architecture for a ...
David Carmel, Shaul Markovitch
ITSSA
2006
100views more  ITSSA 2006»
14 years 12 months ago
A General Framework for Multi-agent Search with Individual and Global Goals: Stakeholder Search
: Stakeholder search is a general framework for an extension to the improving on the competition approach paradigm for cooperative search that allows for additional individual goal...
Alan Fedoruk, Jörg Denzinger
AAMAS
2002
Springer
14 years 11 months ago
Cooperative Multiagent Learning
Cooperation and learning are two ways in which an agent can improve its performance. Cooperative Multiagent Learning is a framework to analyze the tradeoff between cooperation and ...
Enric Plaza, Santiago Ontañón