This paper proposes a theoretical framework that allows goal-based agents attached to networked applications and learning environments to support users’ work and learning. Users, learners, applications and learning environments are represented by autonomous goal-based social agents who communicate, cooperate, and compete in a multi-system and multi-user distributed environment. This allows for a uniform approach to support the user while working, by adaptation to the user’s goals, preferences, level of experience and available resources; as well as teaching the user using various teaching paradigms (consrtuctivist or instructivist). In addition it allows one to take into account the user’s /learner’s motivation and affect; as well as enabling a coherent discussion of teaching strategies.
CITATION STYLE
Vassileva, J. (1998). Goal-based autonomous social agents: Supporting adaptation and teaching in a distributed environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1452, pp. 564–573). Springer Verlag. https://doi.org/10.1007/3-540-68716-5_62
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