Artificial liars: Why computers will (necessarily)deceive us and each other
Ethics and Information Technology
Managing interaction between users and agents in a multi-agent storytelling environment
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
PDDL2.1: an extension to PDDL for expressing temporal planning domains
Journal of Artificial Intelligence Research
Planning through stochastic local search and temporal action graphs in LPG
Journal of Artificial Intelligence Research
Agent-based virtual organisations for the Grid
Multiagent and Grid Systems - Smart Grid Technologies & Market Models
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Trust between agents is a well-studied concern for multiagent systems, but its counterpart, deception, deserves as much attention. In our area of research, interactive narrative generation, the study of deception is critical to the development of interesting and interactive stories.We describe an algorithm that explains how a deceiving agent might deceive a target agent in order to encourage the target agent to achieve a set of unspoken goals. The algorithm uses a modified planning process to ascertain the achievement of the unspoken goals while considering the goals of the deceived agent.