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We identify a subproblem of the model-checking problem for the epistemic \mu-calculus which is decidable. Formulas in the instances of this subproblem allow free variables within the scope of epistemic modalities in a restricted form that…

Computer Science and Game Theory · Computer Science 2013-10-28 Rodica Bozianu , Catalin Dima , Constantin Enea

In this communication we study a device set up to school deaf pupils. We analyze some sessions of mathematics classroom in which participated these pupils. We show in particular that if all the pupils seem globally in phase, cycles of…

History and Overview · Mathematics 2019-03-19 Teresa Assude , Karine Millon-Faure , Jeannette Tambone

Epistemic logic is known as a logic that captures the knowledge and beliefs of agents and has undergone various developments since Hintikka (1962). In this paper, we propose a new logic called agent-knowledge logic by taking the product of…

Logic · Mathematics 2025-01-03 Yuki Nishimura

Albrecht and Stone (2018) state that modeling of changing behaviors remains an open problem "due to the essentially unconstrained nature of what other agents may do". In this work we evaluate the adaptability of neural artificial agents…

Computation and Language · Computer Science 2024-02-08 Philipp Sadler , Sherzod Hakimov , David Schlangen

Collaborative filtering is amongst the most preferred techniques when implementing recommender systems. Recently, great interest has turned towards parallel and distributed implementations of collaborative filtering algorithms. This work is…

Information Retrieval · Computer Science 2014-09-10 Efthalia Karydi , Konstantinos G. Margaritis

As modern games continue growing both in size and complexity, it has become more challenging to ensure that all the relevant content is tested and that any potential issue is properly identified and fixed. Attempting to maximize testing…

Machine Learning · Computer Science 2021-06-25 Camilo Gordillo , Joakim Bergdahl , Konrad Tollmar , Linus Gisslén

Diagnostic reasoning is a key component of many professions. To improve students' diagnostic reasoning skills, educational psychologists analyse and give feedback on epistemic activities used by these students while diagnosing, in…

Modeling student learning and further predicting the performance is a well-established task in online learning and is crucial to personalized education by recommending different learning resources to different students based on their needs.…

Human-Computer Interaction · Computer Science 2020-01-10 Huan Wei , Haotian Li , Meng Xia , Yong Wang , Huamin Qu

This article proposes a formal rapprochement between cognitive load theory and embodied cognition by reconceptualizing psychological representations as dynamic multiscale attractors within a temporal-hierarchical prediction architecture.…

Neurons and Cognition · Quantitative Biology 2026-05-25 David C. Gibson , Mary Elizabeth Azukas , Meryem Yilmaz Soylu

We present evidence from three student interactions in which two types of common solution methods for solving simple first-order differential equations are used. We describe these using the language of resources, considering epistemic games…

Physics Education · Physics 2009-02-05 Katrina E. Black , Michael C. Wittmann

Polarization and unexpected correlations between opinions on diverse topics (including in politics, culture and consumer choices) are an object of sustained attention. However, numerous theoretical models do not seem to convincingly explain…

Social and Information Networks · Computer Science 2026-05-07 Abdou Majeed Alidou , Júlia Baligács , Max Hahn-Klimroth , Jan Hązła , Lukas Hintze , Olga Scheftelowitsch

In open-domain question answering, due to the ambiguity of questions, multiple plausible answers may exist. To provide feasible answers to an ambiguous question, one approach is to directly predict all valid answers, but this can struggle…

Computation and Language · Computer Science 2023-07-11 Weiwei Sun , Hengyi Cai , Hongshen Chen , Pengjie Ren , Zhumin Chen , Maarten de Rijke , Zhaochun Ren

Coordinating activities at different sites of a multi-agent system typically imposes epistemic constraints on the participants. Specifying explicit bounds on the relative times at which actions are performed induces combined temporal and…

Logic in Computer Science · Computer Science 2013-10-29 Yannai A. Gonczarowski , Yoram Moses

Multi-agent large language model frameworks are promising for complex multi step reasoning, yet existing systems remain weak for scientific and knowledge intensive domains due to static prompts and agent roles, rigid workflows, and…

Artificial Intelligence · Computer Science 2026-03-04 Yichao Feng , Haoran Luo , Zhenghong Lin , Yiqun Sun , Pengfei Wei , Lawrence B. Hsieh , Anh Tuan Luu

Epistemic graphs are a generalization of the epistemic approach to probabilistic argumentation. Hunter proposed a 2-way generalization framework to learn epistemic constraints from crowd-sourcing data. However, the learnt epistemic…

Artificial Intelligence · Computer Science 2023-06-08 Xiao Chi

There has been considerable work on reasoning about the strategic ability of agents under imperfect information. However, existing logics such as Probabilistic Strategy Logic are unable to express properties relating to information…

Artificial Intelligence · Computer Science 2025-01-07 Chunyan Mu , Nima Motamed , Natasha Alechina , Brian Logan

The pictorial jigsaw (PJ) puzzle is a well-known leisure game for humans. Usually, a PJ puzzle game is played by one or several human players face-to-face in the physical space. In this paper, we focus on how to solve PJ puzzles in the…

Artificial Intelligence · Computer Science 2018-12-12 Bo Shen , Wei Zhang , Haiyan Zhao , Zhi Jin , Yanhong Wu

The paper analyzes dynamic epistemic logic from a topological perspective. The main contribution consists of a framework in which dynamic epistemic logic satisfies the requirements for being a topological dynamical system thus interfacing…

Logic in Computer Science · Computer Science 2017-09-05 Dominik Klein , Rasmus K. Rendsvig

Whereas cognitive models of learning often assume direct experience with both the features of an event and with a true label or outcome, much of everyday learning arises from hearing the opinions of others, without direct access to either…

Artificial Intelligence · Computer Science 2025-12-05 Yun-Shiuan Chuang , Jerry Zhu , Timothy T. Rogers

We define reachability games based on Dynamic Epistemic Logic (DEL), where the players' actions are finely described as DEL action models. We first consider the setting where an external controller with perfect information interacts with an…

Logic in Computer Science · Computer Science 2019-05-30 Bastien Maubert , Sophie Pinchinat , François Schwarzentruber
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