1 / 19

Unifying MAS Meta-Models ADELFE, Gaia & PASSI

Unifying MAS Meta-Models ADELFE, Gaia & PASSI. Carole Bernon, Massimo Cossentino, Marie-Pierre Gleizes, Paola Turci and Franco Zambonelli. Agent-Oriented vs. Object-Oriented. Design a system  Instantiate a meta-model OO context - design rely on a common denominator

drew
Download Presentation

Unifying MAS Meta-Models ADELFE, Gaia & PASSI

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Unifying MAS Meta-ModelsADELFE, Gaia & PASSI Carole Bernon, Massimo Cossentino, Marie-Pierre Gleizes, Paola Turci and Franco Zambonelli

  2. Agent-Oriented vs. Object-Oriented • Design a system  Instantiate a meta-model • OO context - design rely on a common denominator • Universally accepted concept of object and related meta‑model of object-oriented systems • AO context - to date, no common denominator • Each methodology has its own concepts and system structure In the agent world the meta-model is the critical element when applying the “method engineering” paradigm TFG AOSE, Rome, July 2004

  3. Reasons to Unify • Meta-model = means to unify concepts • Unique meta-model, a way of unifying the different concepts • Helping designer to build a meta-model depending on the system he needs • Choice of useful elements • From the “omni-comprehensive” MAS meta-model • Composition of process • “Method fragment” selection phase • Model coherence checking by CASE tools • Unification eases model transformation TFG AOSE, Rome, July 2004

  4. cognitive and behavioural representation MAS Meta-Model for ADELFE no predefined organization • local goal • cooperative • detect and remove NCS TFG AOSE, Rome, July 2004

  5. Gaia Methodology • First version • Designed to handle small-scale, closed agent-based systems • Modelled agents, roles, interactions • Missed in modelling explicitly the social aspects of a MAS • Official extension of Gaia • Thought for open agent systems • Focused on the social organization of the system TFG AOSE, Rome, July 2004

  6. MAS Meta-Model for Gaia TFG AOSE, Rome, July 2004

  7. MAS Meta-Model for PASSI TFG AOSE, Rome, July 2004

  8. Towards a Unifying MAS Meta-Model • In order to define a unifying meta-model we will consider the following specific aspects: • Agent structure • Agent interactions • Agent society and organizational structure • Agent implementation TFG AOSE, Rome, July 2004

  9. Agent Structure • ADELFE: cooperative agents • Gaia and PASSI: composition of roles TFG AOSE, Rome, July 2004

  10. Agent Structure - Considerations • None imposes a specific classical agent architecture • Seen as some kind of low level architectures that can be adopted during MAS implementation • None explicitly deals with goals and plans • ADELFE • Notion of goal is only used to determine skills • Plans are built at run-time by the system • Gaia • The concept of “goal” is implicit in roles • Plans play no explicit role • PASSI • Goals are considered as non functional requirements • Plans are modelled as algorithms (activity diagrams) TFG AOSE, Rome, July 2004

  11. Agent Interactions • No relevant differences TFG AOSE, Rome, July 2004

  12. Agent Interactions • No relevant differences • ADELFE: agents can communicate indirectly using environment • Gaia: communication mediated by the environment seen as a side effect TFG AOSE, Rome, July 2004

  13. Agent Interactions • No relevant differences • ADELFE: agents can communicate indirectly using environment • Gaia: communication mediated by the environment seen as a side effect • ADELFE: ontologies have not to be modelled; agents are able to adapt to the environment and other agents TFG AOSE, Rome, July 2004

  14. Agent Society and Organizational Structure • ADELFE: no predefined organization TFG AOSE, Rome, July 2004

  15. Agent Society and Organizational Structure • ADELFE: no predefined organization • Gaia: organization = primary abstraction • PASSI: services and scenarios TFG AOSE, Rome, July 2004

  16. Agent Implementation • ADELFE • The problem of the system implementation has not been treated yet; no platform has been imposed • Gaia • Totally abstract from implementation • PASSI • FIPA compliant systems • Direct map among the most important elements of the model and their implementation TFG AOSE, Rome, July 2004

  17. Proposal for a Unifying Meta-model TFG AOSE, Rome, July 2004

  18. Conclusion • Societies with or without predefined organizations (open systems) • Generic agent (cooperative or not) • Follows organizational or cooperation rules • Possibility of identifying three domains • Improvements: an agent has a representation of the environment expressed via an ontological model • Step towards a unique meta-model • A unifying framework for the systems produced with different approaches TFG AOSE, Rome, July 2004

  19. Open Questions • Can a unique meta-model exist? • What description level has to be reached? • How may designers choose meta-model elements? • What kind of tools may ease their work? TFG AOSE, Rome, July 2004

More Related