The problem of recognizing an agent's plans arises in many contexts in work in artificial intelligence. The plan recognition techniques suggested in the literature are rarely formally justified. We view plan recognition as a special kind of non-monotonic reasoning, and demonstrate how formal techniques developed for such reasoning-- namely, circumscription and minimal entailment-- can be used in plan recognition. The first half of this paper reviews a broad range of work in artificial intelligence and philosophy which relates to plan recognition. A formal treatment of a simple case of plan recognition follows, and the paper concludes with proposals for future extensions of thi
Multi-Agent Plan Recognition (MAPR) seeks to identify the dynamic team structures and team behaviors...
This Dagstuhl seminar brought together researchers with a wide range of interests and backgrounds re...
Educational applications of AI-based plan recognition offer some distinct challenges to formalized p...
Plan recognition is the problem of inferring the goals and plans of an agent after partially observ...
To coordinate with other agents in its envi-ronment, an agent needs models of what the other agents ...
Plan recognition is the task of ascribing intentions about plans to an actor, based on observing the...
Plan recognition is the task of inferring the plan of an agent, based on an incomplete sequence of ...
. Plan recognition is an important task whenever a system has to take into account an agent's a...
In the forthcoming distributed autonomous robotic systems it will be useful for a robot to recognize...
Plan recognition is the task of inferring the possible plans an independent agent might have in mind...
Dans cet article, nous proposons un modèle formel de la reconnaissance de plans en vue de l'inclure ...
Abstract. Plan recognition is the task of predicting an agent’s top-level plans based on its observe...
Our research is aimed at providing agents with the ability to use observations of actions taken by o...
In this paper, we propose a formal model of plan recogni-tion for inclusion in a cognitive agent pro...
AbstractWe present the PHATT algorithm for plan recognition. Unlike previous approaches to plan reco...
Multi-Agent Plan Recognition (MAPR) seeks to identify the dynamic team structures and team behaviors...
This Dagstuhl seminar brought together researchers with a wide range of interests and backgrounds re...
Educational applications of AI-based plan recognition offer some distinct challenges to formalized p...
Plan recognition is the problem of inferring the goals and plans of an agent after partially observ...
To coordinate with other agents in its envi-ronment, an agent needs models of what the other agents ...
Plan recognition is the task of ascribing intentions about plans to an actor, based on observing the...
Plan recognition is the task of inferring the plan of an agent, based on an incomplete sequence of ...
. Plan recognition is an important task whenever a system has to take into account an agent's a...
In the forthcoming distributed autonomous robotic systems it will be useful for a robot to recognize...
Plan recognition is the task of inferring the possible plans an independent agent might have in mind...
Dans cet article, nous proposons un modèle formel de la reconnaissance de plans en vue de l'inclure ...
Abstract. Plan recognition is the task of predicting an agent’s top-level plans based on its observe...
Our research is aimed at providing agents with the ability to use observations of actions taken by o...
In this paper, we propose a formal model of plan recogni-tion for inclusion in a cognitive agent pro...
AbstractWe present the PHATT algorithm for plan recognition. Unlike previous approaches to plan reco...
Multi-Agent Plan Recognition (MAPR) seeks to identify the dynamic team structures and team behaviors...
This Dagstuhl seminar brought together researchers with a wide range of interests and backgrounds re...
Educational applications of AI-based plan recognition offer some distinct challenges to formalized p...