1 / 26

An Intelligent Interface to a GIS

An Intelligent Interface to a GIS. Stuart C. Shapiro Professor, CSE Director, SNePS Research Group Member, Center for Cognitive Science Faculty Member, Interdisciplinary MS in Computational Linguistics Faculty Participant, IGERT. Introduction. Long-Term Goal. Theory and Implementation of

finn
Download Presentation

An Intelligent Interface to a GIS

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. An Intelligent Interface to a GIS Stuart C. Shapiro Professor, CSE Director, SNePS Research Group Member, Center for Cognitive Science Faculty Member, Interdisciplinary MS in Computational Linguistics Faculty Participant, IGERT S.C. Shapiro

  2. Introduction S.C. Shapiro

  3. Long-Term Goal • Theory and Implementation of Natural-Language-Competent Computerized Cognitive Agent/Robot • and Supporting Research in Artificial Intelligence Cognitive Science Computational Linguistics. S.C. Shapiro

  4. Research Areas • Knowledge Representation and Reasoning • Cognitive Robotics • Natural-Language Understanding • Natural-Language Generation. S.C. Shapiro

  5. Goal • A computational cognitive agent that can: • Understand and communicate in English; • Discuss specific, generic, and “rule-like” information; • Reason; • Discuss acts and plans; • Sense; • Act; • Maintain a model of itself; • Remember and report what it has sensed and done. S.C. Shapiro

  6. Cassie • A computational cognitive agent • Embodied in hardware • or Software-Simulated • Based on SNePS and GLAIR. S.C. Shapiro

  7. SNePS • Knowledge Representation and Reasoning • Propositions as Terms • SNIP: SNePS Inference Package • Specialized connectives and quantifiers • SNeBR: SNePS Belief Revision • SNeRE: SNePS Rational Engine • Interface Languages • SNePSUL: Lisp-Like • SNePSLOG: Logic-Like • GATN for Fragments of English. S.C. Shapiro

  8. GLAIR Architecture Grounded Layered Architecture with Integrated Reasoning Knowledge Level SNePS Perceptuo-Motor Level NL Sensory-Actuator Level Vision Sonar Proprioception Motion S.C. Shapiro

  9. Interaction with Cassie (Current) Set of Beliefs [SNePS] English (Statement, Question, Command) Reasoning Clarification Dialogue Looking in World GATN Parser (Updated) Set of Beliefs [SNePS] (New Belief) [SNePS] Answer [SNIP] Actions [SNeRE] GATN Generator Reasoning English sentence expressing new belief answering question reporting actions S.C. Shapiro

  10. Example Cassies& Worlds S.C. Shapiro

  11. BlocksWorld S.C. Shapiro

  12. FEVAHR S.C. Shapiro

  13. FEVAHRWorld Simulation S.C. Shapiro

  14. UXO Remediation Corner flag Field Drop-off zone UXO NonUXO object Battery meter Corner flag Corner flag Recharging Station Cassie Safe zone S.C. Shapiro

  15. Crystal Space Environment S.C. Shapiro

  16. Princess from “The Trial, The Trail” A VR drama by Josephine Anstey S.C. Shapiro

  17. Vacuum Cleaner Cassie Using Byron Weber Becker’s Java Karel S.C. Shapiro

  18. Magellan ProTM Mobile RobotfromiRobot S.C. Shapiro

  19. A GIS Interface Agent Based on Jun Xu, 2003, Implement an Intelligent ArcView User Interface Using SNePS, Proceeding of the 23rd Annual ESRI User Conference, San Diego, California, July 7-11, 2003. Stuart C. Shapiro, Hans Chalupsky, Hsueh-Cheng Chou, and David M. Mark. Intelligent user interfaces: Connecting ARC/INFO and SNACTor, a semantic network based system for planning actions. In Proceedings of the Twelfth Annual ESRI User Conference, V. 3, pages 151-165. Environmental Systems Research Institute, Redlands, California, 1992. S.C. Shapiro

  20. View1 is a view. Statetheme is a theme. Open view1. Add statetheme to view1. S.C. Shapiro

  21. Add laketheme to view2. Add rivertheme to view2. S.C. Shapiro

  22. Add roadtheme to view1. S.C. Shapiro

  23. Find New York in statetheme. Zoom in statetheme. S.C. Shapiro

  24. Zoom out statetheme. Add citytheme to view1. S.C. Shapiro

  25. Find San Diego in citytheme. Zoom in citytheme. Show table of citytheme. S.C. Shapiro

  26. For More Information • Shapiro:http://www.cse.buffalo.edu/~shapiro/ • SNePS Research Group:http://www.cse.buffalo.edu/sneps/ • Meets Fridays 9-11, 242 Bell Hall • Join us! S.C. Shapiro

More Related