A control architecture for an autonomous mobile robot
AGENTS '97 Proceedings of the first international conference on Autonomous agents
A multi-agent system “test bed” for evaluating autonomous agents
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Using explicit requirements and metrics for interface agent user model correction
AGENTS '98 Proceedings of the second international conference on Autonomous agents
A construction approach for software agents using components
ACM SIGSOFT Software Engineering Notes
Interaction-oriented programming
First international workshop, AOSE 2000 on Agent-oriented software engineering
Designing Multi-Agent Reactive Systems: A Specification Method Based on Reactive Decisional Agents
PRIMA '99 Proceedings of the Second Pacific Rim International Workshop on Multi-Agents: Approaches to Intelligent Agents
Autonomous Agents Architecture to Supervise and Control a Wastewater Treatment Plant
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Information processing and technology
What Governs Autonomous Actors
CA '95 Proceedings of the Computer Animation
Iterative software engineering for multiagent systems: the MASSIVE method
Iterative software engineering for multiagent systems: the MASSIVE method
Design and development of a fuzzy agent-based model to measure interest rate expectations
Expert Systems with Applications: An International Journal
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There is a wide gulf between the formal logics used by logicians to describe agents and the informal vocabulary used by people who actually build robotic or software agents. In an effort to help bridge the gap, this report applies techniques borrowed from the field of formal software methods to develop a common vocabulary. Terms useful for discussing agents are given formal definitions. A framework for describing agents, tasks and environments is developed using the Z specification language. The terms successful, capable, reactive, reflexive, perceptive, predictive, interpretive, rational and sound are then defined in terms of this framework. In addition, a hierarchy for characterizing tasks is given. The aim of this report is to develop a precise vocabulary for discussing and comparing agents.