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ICCCI
2011
Springer
12 years 10 months ago
Modelling Trust for Communicating Agents: Agent-Based and Population-Based Perspectives
This paper presents an exploration of the differences between agent-based and population-based models for trust dynamics. This exploration is based on both a large variety of simu...
S. Waqar Jaffry, Jan Treur
AI
2010
Springer
13 years 8 months ago
Agent decision-making in open mixed networks
Computer systems increasingly carry out tasks in mixed networks, that is in group settings in which they interact both with other computer systems and with people. Participants in...
Ya'akov Gal, Barbara J. Grosz, Sarit Kraus, Avi Pf...
AIED
2005
Springer
14 years 3 months ago
Computer Games as Intelligent Learning Environments: A River Ecosystem Adventure
Our goal in this work has been to bring together the entertaining and flow characteristics of video game environments with proven learning theories to advance the state of the art ...
Jason Tan, Chris Beers, Ruchi Gupta, Gautam Biswas
AAAI
1994
13 years 11 months ago
Agents that Learn to Explain Themselves
Intelligent artificial agents need to be able to explain and justify their actions. They must therefore understand the rationales for their own actions. This paper describes a tec...
W. Lewis Johnson
IAT
2009
IEEE
14 years 2 months ago
The Benefits of Opponent Models in Negotiation
Information about the opponent is essential to improve automated negotiation strategies for bilateral multiissue negotiation. In this paper we propose a negotiation strategy that e...
Koen V. Hindriks, Catholijn M. Jonker, Dmytro Tykh...