AgentOWL

AgentOWL - Semantic Knowledge Model and Architecture for...

Info iconThis preview shows pages 1–7. Sign up to view the full content.

View Full Document Right Arrow Icon
Semantic Knowledge Model and  Architecture for Agents in  Discrete Environments Michal Laclavík Ústav informatiky Slovenskej akadémie vied
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
2 Outline Motivation State of the Art Objectives Methodology and Tools Agent Knowledge Model – Models,  Methodology, Library Applications Conclusion
Background image of page 2
3 Motivation and State of the Art MAS is powerful paradigm for distributed or heterogeneous systems MAS need Knowledge Support and Semantics MAS need Connection with Existing Commercial Standards Agent Technology Roadmap : Current MAS Systems – lack of  Internal Agent Knowledge Model, lack of interconnection with  semantic web results (knowledge model representations) and  commercial standards  Focus on Agents and Knowledge representation (Ontologies) Knowledge Management and Experience Management as  application domains
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
4 State of the Art - Agents Agent Definition:  An agent is a computer  system capable of flexible autonomous action in  a dynamic, unpredictable and open environment.  (LUCK 2003) MAS Standards:  FIPA, MASIF Related to agent communication, agent platforms  No standards for internal agent knowledge model with  available implementations 
Background image of page 4
5 State of the Art - Agents Architectures: Reactive Architecture No specification of knowledge model, behavior of agent is based on  implemented responses to environment states Belief Desire Intention Architecture – BDI Belief – represents knowledge model,  available some implementations  based on logic programming, not used in FIPA compliant MAS  Behavioral Architecture FIPA compliant MAS are based on such architecture No specification of Internal Agent Knowledge model – depend on agent  designer and developer JADE Agent System Support for ontologies based on FIPA-SL (Similar to First Order  Logic) No Query engine  No Storage No Inference
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
6 State of the Art – Ontologies, Knowledge   Ontologies Knowledge Representation OWL-DL compatible with Description  Logic Query and Storage Engines available RDF, OWL, RDQL based
Background image of page 6
Image of page 7
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 03/10/2012 for the course IT 1023 taught by Professor Ting during the Spring '12 term at UCSI.

Page1 / 29

AgentOWL - Semantic Knowledge Model and Architecture for...

This preview shows document pages 1 - 7. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online