Publication | Closed Access
IDEA: Planning at the Core of Autonomous Reactive Agents
166
Citations
13
References
2002
Year
Artificial IntelligenceEngineeringAutonomous Reactive AgentsAutonomous Agent SystemAutonomous SystemsIntelligent SystemsDiverse Functional LayersSystems EngineeringUnified PlanningAgent Programming LanguageAgent ArchitectureMulti-agent PlanningComputer ScienceDs1 Remote AgentReactive AiAi PlanningMulti-agent SystemsAutomationPlanningRobotics
Several successful autonomous systems are separated into technologically diverse functional layers operating at different levels of abstraction. This diversity makes them difficult to implement and validate. In this paper, we present IDEA (Intelligent Distributed Execution Architecture), a unified planning and execution framework. In IDEA a layered system can be implemented as separate agents, one per layer, each representing its interactions with the world in a model. At all levels, the model representation primitives and their semantics is the same. Moreover, each agent relies on a single model, plan database, plan runner and on a variety of planners, both reactive and deliberative. The framework allows the specification of agents that operate, within a guaranteed reaction time and supports flexible specification of reactive vs. deliberative agent behavior. Within the IDEA framework we are working to fully duplicate the functionalities of the DS1 Remote Agent and extend it to domains of higher complexity than autonomous spacecraft control.
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