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IAT
2005
IEEE
15 years 3 months ago
Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...
Ah-Hwee Tan, Dan Xiao
AGENTS
1997
Springer
15 years 1 months ago
COLLAGEN: When Agents Collaborate with People
We take the position that autonomous agents, when they interact with people, should be governed by the same principles that underlie human collaboration. These principles come fro...
Charles Rich, Candace L. Sidner
ITS
1998
Springer
213views Multimedia» more  ITS 1998»
15 years 1 months ago
Component-Based Construction of a Science Learning Space
We present a vision for learning environments, called Science Learning Spaces, that are rich in engaging content and activities, provide constructive experiences in scientific proc...
Kenneth R. Koedinger, Daniel D. Suthers, Kenneth D...
71
Voted
AAAI
1996
14 years 11 months ago
Learning to Take Actions
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
Roni Khardon
80
Voted
AAMAS
2007
Springer
14 years 9 months ago
An experts approach to strategy selection in multiagent meeting scheduling
Abstract. In the multiagent meeting scheduling problem, agents negotiate with each other on behalf of their users to schedule meetings. While a number of negotiation approaches hav...
Elisabeth Crawford, Manuela M. Veloso