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This paper derives from the work of one of my PGR students - one who has just passed his viva (yay!). I'm not sure how much interest it carries outside the field of beliefs-desire-intentions agent programming. In that particular paradigm agents select plans of action from a set generally provided by a programmer. Peter looked at how those plans could be automatically adapted if the actions stopped working properly - e.g., if some part of a robot's machinery wore down. The idea was to track the outcomes of actions against descriptions of what an action should do and then swap them in and out of plans based on their descriptions.