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

GraphsGraphs

Anton Bogdanovych

University of Western Sydney, AustraliaeMarkets Research Group

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Virtual Sales Assistants in 3D E-Virtual Sales Assistants in 3D E-CommerceCommerce

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Virtual Institutions: Virtual Institutions: TaxonomyTaxonomy

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Virtual Institutions Virtual Institutions ConceptConcept

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Electronic Institutions Development Electronic Institutions Development EnvironmentEnvironment

Common Ontology and language

Agent Roles Multi-agent Protocols Network of protocols Norms

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Virtual Institutions Virtual Institutions TechnologyTechnology

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Learning AspectsLearning AspectsIm

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Training ScenarioTraining ScenarioIm

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Levels of Abstraction of the Levels of Abstraction of the DataData

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The Recursive-Arc GraphThe Recursive-Arc GraphIm

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Experiments: Teaching Human-Like Experiments: Teaching Human-Like Locomotion via Implicit TrainingLocomotion via Implicit Training

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ConclusionsConclusions 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