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Towards Empathetic Planning and Plan Recognition
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019Every compassionate and functioning society requires its members to have a capacity to adopt others' perspectives. As Artificial Intelligence (AI) systems are given increasingly sensitive and impactful roles in society, it is important to enable AI to wield empathy as a tool to benefit those it interacts with.
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Plan and Goal Recognition as HTN Planning
2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI), 2018Plan-and Goal Recognition (PGR) is the task of inferring the goals and plans of an agent based on its actions. Traditional approaches in PGR are based on a plan library including pairs of plans and corresponding goals. In recent years, the field successfully exploited the performance of planning systems for PGR.
Daniel Holler +3 more
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Efficient attack plan recognition using automated planning
2017 IEEE Symposium on Computers and Communications (ISCC), 2017Network attacks are becoming ever more sophisticated and are able to hide more easily in the increasing amount of traffic being generated by everyday activity. Administrators are placed in the unfortunate position of distinguishing between the two. The attack graph has been in use for some time because it provides a concise knowledge representation ...
Adam Amos-Binks +4 more
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Multi-Agent Plan Recognition as Planning (MAPRAP)
Proceedings of the 8th International Conference on Agents and Artificial Intelligence, 2016A key challenge in Multi-agent Plan Recognition (MPAR) is effectively pruning the large search space of potential goal / team compositions because multi-agent scenarios distribute actions/observables across agents. This additional dimension also makes creating a priori plan libraries difficult.
Jon Doyle, Chris Argenta
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2009
Plan recognition of movement by car or foot is generally intractable because of the huge number of potential destinations and routes. However in restricted areas with limited ingress/egress and few places to go such as a military base, plan recognition of movement can be done.
David N. Chin +2 more
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Plan recognition of movement by car or foot is generally intractable because of the huge number of potential destinations and routes. However in restricted areas with limited ingress/egress and few places to go such as a military base, plan recognition of movement can be done.
David N. Chin +2 more
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Goal and Plan Recognition Design for Plan Libraries
ACM Transactions on Intelligent Systems and Technology, 2019This article provides new techniques for optimizing domain design for goal and plan recognition using plan libraries. We define two new problems: Goal Recognition Design for Plan Libraries (GRD-PL) and Plan Recognition Design (PRD). Solving the GRD-PL helps to infer which goal the agent is trying to achieve, while ...
Reuth Mirsky +3 more
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Proceedings of the AAAI Conference on Artificial Intelligence, 2017
Plan recognition aims to recognize target plans given observed actions with history plan libraries ordomain models in hand. Despite of the success of previous plan recognition approaches, they all neglect the impact of human preferences on plans.
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Plan recognition aims to recognize target plans given observed actions with history plan libraries ordomain models in hand. Despite of the success of previous plan recognition approaches, they all neglect the impact of human preferences on plans.
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ACM SIGART Bulletin, 1978
This talk described a computer system that exploits a simple fact: language is intentional behavior. People speak in order to attain effects on specific listeners, and in so doing, achieve goals for themselves.
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This talk described a computer system that exploits a simple fact: language is intentional behavior. People speak in order to attain effects on specific listeners, and in so doing, achieve goals for themselves.
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Plan recognition in smart environments
2007 2nd International Conference on Digital Information Management, 2007This position paper describes our approach to recognizing tasks of mobile users in a smart environment. Such high-level interpretation of behavior enables context-aware applications to adapt to the users’ needs and intentions. In the AI community, plan recognition techniques have proven their applicability in recognizing the tasks of software agents in
Niels Snoeck +2 more
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Two Logical Theories of Plan Recognition
Journal of Logic and Computation, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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