Inferring domain plans in question-answering
Inferring domain plans in question-answering
Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
Intention is choice with commitment
Artificial Intelligence
Logic and information flow
A circumscriptive calculus of events
Artificial Intelligence
AgentSpeak(L): BDI agents speak out in a logical computable language
MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
Belief-desire-intention agent architectures
Foundations of distributed artificial intelligence
Temporal belief logics for modeling distributed artificial intelligence systems
Foundations of distributed artificial intelligence
Collaborative plans for complex group action
Artificial Intelligence
Explanatory update theory: applications of counterfactual reasoning to causation
Artificial Intelligence
A commonsense language for reasoning about causation and rational action
Artificial Intelligence
Logic for Problem Solving
Making Robots Conscious of Their Mental States
Machine Intelligence 15, Intelligent Agents [St. Catherine's College, Oxford, July 1995]
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Worlds of change: counterfactual reasoning and causation
Worlds of change: counterfactual reasoning and causation
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Interpreting Information Requests in Context A Collaborative Web Interface for Distance Learning
Autonomous Agents and Multi-Agent Systems
Teambotica: a robotic framework for integrated teaming, tasking, networking, and control
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Dynamic intention structures I: a theory of intention representation
Autonomous Agents and Multi-Agent Systems
Interactive execution monitoring of agent teams
Journal of Artificial Intelligence Research
The dynamics of intention in collaborative activity
Cognitive Systems Research
Hi-index | 0.00 |
This paper explores the design of rational agent architectures from the perspective of the dynamics of information change. The procedural elements that guide an agent’s behavior and that reflect the evolution of pro‐attitudes (for example, from desire to intention to plan) are described in terms of McCarthy’s notion of a reified mental action. The function of each module of an agent architecture is exactly specified by identifying processes with each module and then describing the effects of those processes or mental actions (such as updating beliefs, elaborating plans, deliberating, reconsidering, revising intentions, filtering intentions, and monitoring) in the same way as one would describe the effects of physical actions. A new semantics for intention is presented that is both dynamic and causal in the sense that it is given in terms of the relation of an intention to both previous and subsequent mental states as well as to the choice of physical action. Desires are given a syntactic analysis while the pro‐attitude of intentions‐that, which has been proposed in the SharedPlans framework of Grosz and Kraus, is axiomatized in terms of an evolving commitment to certain deliberative, mental actions that evolve as a function of knowledge of the state of the joint activity.