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Terminological meta-reasoning by reification and multiple contexts
1995We introduce a model and a system architecture for second-order reasoning about statements expressed in a (first-order) terminological representation language. This meta-reasoning approach is based on the reification of first-order propositions and the mediation between second- and first-order expressions via translation rules operating on multiple ...
Klemens Schnattinger +2 more
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Meta-reasoning for Agents’ Private Knowledge Detection
2003Agent’s meta-reasoning is a computational process that implements agent’s capability to reason on a higher level about another agent or a community of agents. There is a potential for meta-reasoning in multi-agent systems. Meta-reasoning can be used for reconstructing agents’ private knowledge, their mental states and for prediction of their future ...
Jan Tozicka +2 more
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Meta-Reasoning for Data Analysis Tool Allocation
1997It is desirable that data analysis tools become more autonomous in managing their computational resources, minimizing risk and cost, assessing their errors, developing new representations, and integrating with other data analysis tools. To aid in this development we introduce a design for using Meta-Reasoning in a Data Analysis Tool Allocation system ...
Robert Levinson, Jeff Wilkinson
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Alma/Carne: implementation of a time-situated meta-reasoner
Proceedings 13th IEEE International Conference on Tools with Artificial Intelligence. ICTAI 2001, 2002Agents need to operate in dynamic situations where the information they have about the world is incomplete, uncertain and quite possibly false. Active logic has been designed with capabilities that enable these aspects of the world to be taken into account, notably time-situatedness, contradiction tolerance and meta-reasoning.
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Abstract Architecture for Meta-reasoning in Multi-agent Systems
2007Agent's meta-reasoning is a computational process that implements agent's capability to reason on a higher level about another agents or a community ofagen ts. There is a potential for meta-reasoning in multi-agent systems. Meta-reasoning can be used for reconstructing agents' private knowledge, their mental states and for prediction of their future ...
Michal Pechoucek +3 more
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A Meta-Reasoning Model for Hard Real-Time Agents
2006This paper defines a meta-reasoning model for real-time agents. The purpose of this model is to increase the adaptability in this kind of agents. This model allows to adapt the agent's behavior as well as the agent's own reasoning process. The application of this model to an specific real-time agent architecture is also presented.
Carlos Carrascosa +4 more
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Machine Learning, Meta-Reasoning and Logics
1990I. Meta-Reasoning and Machine Learning.- A Metalevel Manifesto.- A Sketch of Autonomous Learning using Declarative Bias.- Shift of Bias as Non-Monotonic Reasoning.- Mutual Constraints on Representation and Inference.- Meta-Reasoning: Transcription of Invited Lecture by Luigia Aiello.- Discussion.- II.
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Transferable strategic meta-reasoning models
2013How do strategic agents make decisions? For the first time, a confluence of advances in agent design, formation of massive online data sets of social behavior, and computational techniques have allowed for researchers to construct and learn much richer models than before.
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The role of conflict detection in meta-reasoning
2017Recent research in the field of reasoning has been conducted in conjunction with the meta-reasoning framework which has been in development for the past decade. The study of how metacognitive judgments are generated and what are the determinants of those judgments has become the focus of many researchers.
Dujmović, Marin, Valerjev, Pavle
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Meta-Reasoning: Transcription of an Invited Lecture by
1990This text is an edited version of the lecture on Meta-Reasoning, presented by Luigia Aiello at the Workshop in Sesimbra, Portugal. The lecture was recorded and the transcript was edited afterwards.
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