Educational Placement of Agent Characterizations: Imposed vs. Autonomous Planification Instituto Tecnolgico y de Estudios Superiores de Monterrey
Abstract:
Abstract. We report theoretical bases for the inclusion of intelligent agents into a Tutorial System designed to teach an undergraduate Datastructures course [Espinosa95c] [Espinosa95a] [Espinosa95b]. We present a particular view of multiagent systems by introducing a criteria for their classification and specification with respect to their nature and possible limitations, based on the initial identification of robotic behavior and its actual context within the world of plans and their execution. We present a viewpoint in which humans are robotically treated as machines, and machines are treated as humans. We sustain that machines are well suited to execute imposed plans, but humans must construct their own in an autonomous way. We compare this postulate to standard reasoning techniques, and conclude that a merger of disciplines is required for a correct characterization of such autonomous planification. We propose a method for such a merger, based on our previous ITS work [Espinosa96b] and our previous planification experience [Ramos95a] [Ramos95b] [Ramos96c], and make an Educational Placement of our agent characterizations using a hierarchical model [Espinosa96a] where imposed planification is identified a diferring from autonomous planification. We present conclusions and plans for further research. 1.
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