Adaptation and Teaching in Distributed Environments

Application- and Personal-Agents

We propose goal-based agents attached to networked applications and learning environments to support user's work and learning. Users, learners, applications and learning environments are represented by autonomous goal-based social agents which communicate, cooperate, and compete in a multi-system and multi-user distributed environment. This approach allows to consider in a uniform way working, adaptation to the user's goals and preferences, level of experience and available resources, as well as teaching the user using various teaching paradigms (consrtuctivist or instructivist). In addition it allows taking into account of user's /learner's motivation and affect; as well as a coherent discussion of teaching strategies.




Agent Negotiation, Coalition Formation, Electronic Commerce

User Persuasion, Motivating Participation in Peer-to-peer Communities, Emotional Agents

Distributed User Modelling

Multi-Agent Based Learning Environments and Peer-Help Systems; The I-Help System

Multi-Agent Applications Supporting Adaptation to the User and Teaching

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