1 / 24

On Experimenting with AgentSpeak(L) Agents

On Experimenting with AgentSpeak(L) Agents. Harrow School of Computer Science. June 2004. Ioannis Svigkos svigkoi@westminster.ac.uk. O v e r v i e w. Part I: Agent Technology. Part II: BDI Agents. AgentSpeak(L). Agentspeak(L) constructs Agentspeak(L) Interpreter Limitations. Part III:

dewey
Télécharger la présentation

On Experimenting with AgentSpeak(L) Agents

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. On Experimenting with AgentSpeak(L) Agents Harrow School of Computer Science June 2004 Ioannis Svigkossvigkoi@westminster.ac.uk

  2. O v e r v i e w • Part I: • Agent Technology. • Part II: • BDI Agents. • AgentSpeak(L). • Agentspeak(L) constructs • Agentspeak(L) Interpreter • Limitations. • Part III: • Demonstraing AgentSpeak(L) S On Experimenting with AgentSpeak(L) Agents 1/22

  3. Part I: Agent Technology

  4. Software Systems • Computing environments: • Applications • Information • Components are dispersed • Networking technologies • Information • Increases in size, many forms • Unstructured, altered without notice • Future of computing • Autonomic, Pro-active, Ubiquitous, Pervasive … a solution can be … N On Experimenting with AgentSpeak(L) Agents .

  5. .. Agent Technology • An Agent is …. • Dimensions • Autonomy • Situated-ness • Responsive-ness • Proactive-ness • Social ability … a particular kind of agents … N On Experimenting with AgentSpeak(L) Agents

  6. Part II: BDI Agents

  7. ... BDI Agents • Decision making model based: • Human Practical reasoning • Includes two processes: • Deliberation • Means-end Reasoning • BDI: • Belief, Desire Intention Model … But why BDI agents ? C On Experimenting with AgentSpeak(L) Agents

  8. BDI Agents • Why BDI model: • Description based on “mentalistic” attributes. • “Humanistic” way to predict agent behaviour. • A “re-usable” abstract model. • Reactive and deliberative approach. • Research outcome • Theoretical • Practical S On Experimenting with AgentSpeak(L) Agents

  9. .... AgentSpeak(L) • Important contribution: • Represents a large family of BDI systems. • An approach to bridge the gap between theory and practice. • Abstraction of successful implemented systems PRS and dMars. C On Experimenting with AgentSpeak(L) Agents

  10. .... AgentSpeak(L) • Event: Perceivable characteristics • External • Internal • Beliefs: Knowledge about the world • Plan Library: Procedural Knowledge • Intentions: Partial Instantiate Plans • Actions: Selected for execution • Select plan • Select Event • Select intention On Experimenting with AgentSpeak(L) Agents

  11. ..... AgentSpeak(L): Interpreter C On Experimenting with AgentSpeak(L) Agents

  12. ...... AgentSpeak(L): Limitations • Selection functions are non-deterministic • Programming of only single agent systems. • A goal can be achieved, if an agent: • Has the necessary plans • Can perform all actions in a plan. • It cannot handle plan failure • Events cannot be “processed” are not removed. • Not aware about lack of procedural knowledge • Redundant computation On Experimenting with AgentSpeak(L) Agents

  13. Part III: Demonstration

  14. Building Agentspeak(L) agents • Agentspeak(L) implemented in Java • Constructs: beliefs, plans, goals, intentions all accesible as APIs • Agent Interpreter • Agent • Building Agentspeak(L) agents: • Implement • Beliefs • Events • Plans. On Experimenting with AgentSpeak(L) Agents

  15. 1st Operational Cycle: • Move to Square(o)

  16. 2nd Operational Cycle • Move to Square(o)

  17. 3rd Operational Cycle Tom knowns there is a waste at square(o)

  18. 3st Operational Cycle 4th Operational Cycle - Move to bin @ square(p)

  19. 5th Operational Cycle - Move to bin @ square(p)

  20. 6th Operational Cycle - Move to bin @ square(p)

  21. 7th Operational Cycle - Drop waste into the bin

  22. 6st Operational Cycle 8th Operational Cycle Observe the environment for any changes.

  23. ................ References • M. d’Inverno and M. Luck. Engineering AgentSpeak(L): A formal computational model. Logic and Computation, 8(3), 1998. • N. R. Jennings, K. Sycara, and M. Wooldridge. A roadmap of agent research and development. Journal of Autonomous Agents and Multi-Agent Systems, 1(1):7–38, 1998. • M. E. Bratman, D. Israel, and M. E. Pollack, Plans and resource bounded practical reasoning. Computational Intelligence, 4:349–355, 1988. • Michael Luck, Peter McBurney, Chris Preist, and Christine Guilfoyle. Agent technology: Enabling next generation computing, 2003. Augmenting BDI Agent Architectures for Social Reasoning

  24. ................ References • Anand S. Rao. Agentspeak(l): BDI agents speak out in a logical computable language. In Modelling Autonomous Agents in a Multi-Agent World, pages 42–55, 1996. • Jaime Simao Sichman, Rosaria Conte, Yves Demazeau, and Christiano Castelfranchi. A social reasoning mechanism based on dependence networks. In Michael N. Huhns and Munundar P. Singh, editors, Readings in Agents, pages 416–420, San Francisco, 1997. Morgan Kaufmann. • M. Wooldridge and N. R. Jennings. Agent Theories, Architectures, and Languages: A Survey. In Jennings Wooldridge, editor, Intelligent Agents, ECAI-94, workshop on Agent theories, Architectures, and Languages (ATAL), number 890 in LNAI, pages 1–39, Berlin, Germany, August 1994. Springer-Verlag. Augmenting BDI Agent Architectures for Social Reasoning

More Related