Artificial Intelligence
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Software architecture: perspectives on an emerging discipline
Software architecture: perspectives on an emerging discipline
Communicating and mobile systems: the &pgr;-calculus
Communicating and mobile systems: the &pgr;-calculus
Developing multi-agent systems with a FIPA-compliant agent framework
Software—Practice & Experience
A Calculus of Communicating Systems
A Calculus of Communicating Systems
MABS '00 Proceedings of the Second International Workshop on Multi-Agent-Based Simulation-Revised and Additional Papers
Volcano, a Vowels-Oriented Multi-agent Platform
CEEMAS '01 Revised Papers from the Second International Workshop of Central and Eastern Europe on Multi-Agent Systems: From Theory to Practice in Multi-Agent Systems
Control Architectures for Autonomous and Interacting Agents: A Survey
PRICAI '96 Proceedings from the Workshop on Intelligent Agent Systems, Theoretical and Practical Issues
A Reusable Component Architecture for Agent Construction TITLE2:
A Reusable Component Architecture for Agent Construction TITLE2:
MADCAR: an abstract model for dynamic and automatic (re-)assembling of component-based applications
CBSE'06 Proceedings of the 9th international conference on Component-Based Software Engineering
Semantic mappings between service, component and agent models
Proceedings of the 15th ACM SIGSOFT symposium on Component Based Software Engineering
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This paper relates an experience in using a component model to design and construct agents. After discussing various rationales and architectural styles for decomposing an agent architecture, we describe a model of component for agents, named MALEVA. In this model, components encapsulate various units of agent behaviors (e.g., follow gradient, flee, reproduce). It provides an explicit notion of control flow between components (reified through specific control ports, connexions and components), for a fine grain control of activation and scheduling. Moreover, a notion of composite component allows complex behaviors to be constructed from simpler ones. Two examples, in the domain of multi-agent based simulation, are presented in this paper. They illustrate the ability of the model to facilitate both bottom-up and top-down approaches for agent design and construction and also to help at different types of potential reuse.