Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/978-3-540-71956-4_5 | ProMAS |
Keywords | Field | DocType |
control flow,agent design,agent behavior,various rationale,behavior-based approach,explicit notion,composite component,component-based agent,architectural design,component model,specific control port,fine grain control,agent architecture,architecture,design,simulation,top down,behavior,bottom up,component,multi agent system,agent,composition,multi agent systems | Architecture,Presentation–abstraction–control,Architectural design,Computer science,Reuse,Simulation,Scheduling (computing),Control flow,Agent architecture,Multi-agent system,Distributed computing | Conference |
Volume | ISSN | Citations |
4411 | 0302-9743 | 5 |
PageRank | References | Authors |
0.55 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jean-Pierre Briot | 1 | 623 | 85.90 |
| Thomas Meurisse | 2 | 100 | 8.70 |
| Frédéric Peschanski | 3 | 47 | 11.12 |