Personality-rich believable agents that use language
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Intelligent Agents: The Key Concepts
Proceedings of the 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001 on Multi-Agent-Systems and Applications II-Selected Revised Papers
What Governs Autonomous Actors
CA '95 Proceedings of the Computer Animation
A Teleo-Reactive Architecture for Fast, Reactive and Robust Control of Mobile Robots
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
RPL: a policy language for dynamic reconfiguration
Proceedings of the 2008 RISE/EFTS Joint International Workshop on Software Engineering for Resilient Systems
Common sense data acquisition for indoor mobile robots
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Teleo-reactive programs for agent control
Journal of Artificial Intelligence Research
Modeling adaptive autonomous agents
Artificial Life
Evolving hierarchical and recursive teleo-reactive programs through genetic programming
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Teleo-Reactive abductive logic programs
Logic Programs, Norms and Action
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New ideas are presented for computing and organizing actions for autonomous agents in dynamic environments - environments in which the agent''s current situation cannot always be accurately discerned and in which the effects of actions cannot always be reliably predicted. The notion of "circuit semantics" for programs based on "teleo-reactive trees" is introduced. Program execution builds a combinational circuit which receives sensory inputs and controls actions. These formalisms embody a high degree of inherent conditionality and thus yield programs that are suitably reactive to their environments. At the same time, the actions computed by the programs are guided by the overall goals of the agent. The paper also speculates about how programs using these ideas could be automatically generated by artificial intelligence planning systems and adapted by learning methods.