Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Artificial Intelligence - Special issue on economic principles of multi-agent systems
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Trust and honour in information-based agency
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Information-based deliberation
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
An Agent Architecture for Simultaneous Bilateral Negotiations
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
Trust and matching algorithms for selecting suitable agents
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
HANA: A Human-Aware Negotiation Architecture
Decision Support Systems
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An agent architecture supports the two forms of deliberation used by human agents. The work is founded on the two forms of rationality described by the two Nobel Laureates Friedrich Hayek and Vernon Smith. Cartesian, constructivist rationalism leads to game theory, decision theory and logical models. Ecological rationalism leads to deliberative actions that are derived from agents' prior interactions and are not designed; i.e., they are strictly emergent. This paper aims to address the scant attention paid by the multiagent systems community to the predominant form of deliberation used by mankind.