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ICIA
2007
13 years 9 months ago
Learning Interaction between Conflicting Human Agents and Their Assistants
We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...
Boris Galitsky, Boris Kovalerchuk
CEEMAS
2005
Springer
14 years 6 days ago
Modelling of Agents' Behavior with Semi-collaborative Meta-agents
Abstract. An autonomous agent may largely benefit from its ability to reconstruct another agent’s reasoning principles from records of past events and general knowledge about th...
Jan Tozicka, Filip Zelezný, Michal Pechouce...
CIA
2007
Springer
14 years 26 days ago
Learning Initial Trust Among Interacting Agents
Trust learning is a crucial aspect of information exchange, negotiation, and any other kind of social interaction among autonomous agents in open systems. But most current probabil...
Achim Rettinger, Matthias Nickles, Volker Tresp
CSL
1998
Springer
13 years 6 months ago
Evaluating spoken dialogue agents with PARADISE: Two case studies
This paper presents PARADISE PARAdigm for DIalogue System Evaluation, a general framework for evaluating and comparing the performance of spoken dialogue agents. The framework d...
Marilyn A. Walker, Diane J. Litman, Candace A. Kam...
ATAL
2010
Springer
13 years 7 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls