Michael P. Georgeff
Michael P. Georgeff and Amy Lansky’s 1987 paper describes the Procedural Reasoning System for robot control. It explicitly represents beliefs, desires and intentions and allows action before a plan is fully elaborated, with goals revised as circumstances change. The paper reports tests with SRI’s Flakey robot in a space-station scenario involving navigation and emergency tasks. These experiments examined a robot’s ability to interrupt plans and respond to new demands while retaining goal-directed behavior. Georgeff and Anand Rao’s BDI Agents: From Theory to Practice connects formal agent models with practical interpreters. The paper describes an air-traffic-management application, examining how belief-desire-intention architectures can support systems in dynamic environments.
- Works
- 109
- Citations
- 9,550
- h-index
- 33
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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1987
Reactive reasoning and planning
Michael P. Georgeff and Amy Lansky’s 1987 paper describes the Procedural Reasoning System for robot control. It explicitly represents beliefs, desires and intentions and allows action before a plan is fully elaborated, with goals revised as circumstances change.
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1987 experiments
Planning on Flakey
The paper reports tests with SRI’s Flakey robot in a space-station scenario involving navigation and emergency tasks. These experiments examined a robot’s ability to interrupt plans and respond to new demands while retaining goal-directed behavior.
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1995
BDI theory and practice
Georgeff and Anand Rao’s BDI Agents: From Theory to Practice connects formal agent models with practical interpreters. The paper describes an air-traffic-management application, examining how belief-desire-intention architectures can support systems in dynamic environments.
Sources and credits
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