1 / 18

Sapient Agents Seven Approaches

Explore the seven approaches to Sapient Agents, including knowledge representation, emergence, exploration, evolutionary computation, time, domain dependence, and chaos. This paper provides a comprehensive overview of the integration of knowledge-intensive multi-agent systems.

rbill
Download Presentation

Sapient Agents Seven Approaches

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. Sapient AgentsSeven Approaches Zbigniew Skolicki Tomasz Arciszewski

  2. Agents vs. Agents • A wide spectrum of possibilities • Swarm agents vs. complex stand-alone agents • Manually designed vs. automatically derived/adjusted/evolved • Agents, Intelligent Agents, Sapient Agents Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  3. Agent An autonomous system situated within an environment, which senses its environment, maintains some knowledge and learns upon obtaining new data and, finally, which acts in pursuit of its own agenda to achieve its goals, possibly influencing the environment Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  4. Agent agent environment Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  5. Agent Acting Reasoning Sensing environment Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  6. Intelligent Agent (IA) Acting Reasoning Sensing environment Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  7. Sapient Agent (SA) Acting Reasoning Wisdom Sensing environment Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  8. Seven approaches • Difficult to give a precise definition at this stage • “a definition by coverings” Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  9. 1. Knowledge Representation • SA utilizes meta-rules, complex models • Heuristic rules • SA understands the whole structure of a knowledge graph/ontology Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  10. 2. Emergence • Understanding at global, macroscopic level • Line of Evolution approaches • SA recognizesemergent patterns Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  11. 3. Exploitation/Exploration • SA searches for novel design concepts • SA uses several representation spaces? • SA focuses on exploration Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  12. 4. Evolutionary Computation • SA makes strategic decisions • Diversity maintained • Slow convergence • Possible short-term diminishment of overall performance Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  13. 5.Time • SA has wider (long-term) perspective • Hierarchical planning • Holistic understanding in the case of games • SA makes long term decisions Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  14. 6. Domain Dependence • SA has inter-domain knowledge • Structural adaptation (not just adjusting parameters) • SA can abstract knowledge at very high level Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  15. 7. Chaos • Identification of attractors • Multi-solution/stream tracking (as far as possible) • SA understands constraints of real world and chooses the safest solution Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  16. Summary Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  17. Conclusions • First attempt to classify Sapient Agents • All approaches separate but interrelated • Looking for Big Picture absolutely crucial for SA • Good starting point for a discussion • Much more work necessary Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

  18. Thank you Questions? Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'03

More Related