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Understanding Finite State Machines and Semantic Networks in Knowledge Representation

This presentation by Anibal Perez explores the definitions and applications of Finite State Machines (FSMs) and Semantic Networks. FSMs consist of three main components: a set of states, events, and mappings to actions. The architecture of designing these systems is highlighted through examples like the Bank of China Tower. Semantic Networks represent connections between concepts, helping to visualize complex knowledge domains. With practical applications in theatre, such as plays and operas, the presentation also examines Entity-Relationship Diagrams and future ideas for merging designs with 3D models.

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Understanding Finite State Machines and Semantic Networks in Knowledge Representation

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Presentation Transcript

  1. FSMs and Semantic Networks Anibal Perez COP6836 March 1, 2001

  2. Definitions • FSM • Semantic Networks • Why use them?

  3. FSM • Consists of Three Components • 1) Set of states • 2) Set of events • 3) Mapping from each state-event pair to a corresponding action

  4. Architecture • The art and technique of designing and building • Bank of China Tower

  5. Semantic Networks • A diagram that represents connections between concepts in some specific domain of knowledge • Examples

  6. Theatre • An art concerned with live performances where the actions are planned to create a sense of drama • Plays • Ballet • Operas

  7. Entity Relationship Diagrams • Useful for understanding relationships between objects • Contain attributes and entities • Arrows indicate relationships

  8. Car Architecture ER-Diagram

  9. Car Theatre ER-Diagram

  10. Future Ideas • Floor plans • Perspective drawings • 3-D model to merge flow charts with art piece

  11. Resolution • Rebels destroy the Death Star • Superman saves Lois Lane • Anibal Finishes his presentation • Ewoks celebrate

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