Artificial Intelligence
Understanding agent systems
Organization Self-Design of Distributed Production Systems
IEEE Transactions on Knowledge and Data Engineering
Extending Activity Diagrams to Model Mobile Systems
NODe '02 Revised Papers from the International Conference NetObjectDays on Objects, Components, Architectures, Services, and Applications for a Networked World
Modelling and Design of Multi-Agent Systems
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Specifying Agent Interaction Protocols with Standard UML
AOSE '01 Revised Papers and Invited Contributions from the Second International Workshop on Agent-Oriented Software Engineering II
Representing Social Structures in UML
AOSE '01 Revised Papers and Invited Contributions from the Second International Workshop on Agent-Oriented Software Engineering II
From a Conceptual Framework for Agents and Objects to a Multi-Agent System Modeling Language
Autonomous Agents and Multi-Agent Systems
The role of roles in designing effective agent organizations
Software engineering for large-scale multi-agent systems
Improving the architectural design of multi-agent systems: the tropos case
Proceedings of the 2006 international workshop on Software engineering for large-scale multi-agent systems
Communications of the ACM - ACM at sixty: a look back in time
Improving Multi-Agent Architectural Design
Software Engineering for Multi-Agent Systems V
Intentional learning agent architecture
Autonomous Agents and Multi-Agent Systems
A tool for software development driven by customer interaction
Proceedings of the 3rd India software engineering conference
Modeling MAS properties with MAS-ML dynamic diagrams
AOIS'06 Proceedings of the 8th international Bi conference on Agent-oriented information systems IV
Hi-index | 0.00 |
The behavior of an agent is defined through the specification of plans and actions. Agents have a set of plans that are selected to be executed according to their goals (and other mental state information). In this paper, we propose the use of UML 2.0 activity diagrams to model agent plans and actions. We consider a plan to be an activity. Both plans and activities are composed of actions and define the action execution sequence. By using some features available in the UML 2.0 activity diagrams and defining some new ones, we demonstrate how these diagrams can be applied to model agent plans and actions.