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Training Believable Agents In 3D Electronic Business Environments Using Recursive-Arc Graphs

Training Believable Agents In 3D Electronic Business Environments Using Recursive-Arc Graphs. Anton Bogdanovych University of Western Sydney, Australia eMarkets Research Group. Virtual Sales Assistants in 3D E-Commerce. Background. Virtual Institutions: Taxonomy. Background.

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Training Believable Agents In 3D Electronic Business Environments Using Recursive-Arc Graphs

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  1. Training Believable Agents In 3D Electronic Business Environments Using Recursive-Arc Graphs Anton Bogdanovych University of Western Sydney, Australia eMarkets Research Group

  2. Virtual Sales Assistants in 3D E-Commerce Background

  3. Virtual Institutions: Taxonomy Background

  4. Virtual Institutions Concept Background

  5. Electronic Institutions Development Environment Background • Common Ontology and language • Agent Roles • Multi-agentProtocols • Networkof protocols • Norms

  6. Virtual Institutions Technology Background

  7. Learning Aspects Implicit Training

  8. Training Scenario Implicit Training

  9. Levels of Abstraction of the Data Implicit Training

  10. The Recursive-Arc Graph Implicit Training

  11. Experiments: Teaching Human-Like Locomotion via Implicit Training Implicit Training

  12. Conclusions • Implicit Training is an efficient method for teaching human-like behaviors to intelligent virtual assistants in 3D E-Commerce applications • The environment formalization using Virtual Institutions can significantly simplify the learning task for the assistant agent • Recursive-Arc Graphs are data structures that can successfully utilize this formalization and structure the training data on different levels of abstraction

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