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  1.  4
    Editorial Foreword.Natasha Alechina & Valentin Goranko - 2020 - Journal of Logic, Language and Information 29 (1):1-2.
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  2.  2
    Multi-Agent Logics for Reasoning About Higher-Order Upper and Lower Probabilities.Dragan Doder, Nenad Savić & Zoran Ognjanović - 2020 - Journal of Logic, Language and Information 29 (1):77-107.
    We present a propositional and a first-order logic for reasoning about higher-order upper and lower probabilities. We provide sound and complete axiomatizations for the logics and we prove decidability in the propositional case. Furthermore, we show that the introduced logics generalize some existing probability logics.
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  3. Multi-agent Logics for Reasoning About Higher-Order Upper and Lower Probabilities.Dragan Doder, Nenad Savić & Zoran Ognjanović - 2020 - Journal of Logic, Language and Information 29 (1):77-107.
    We present a propositional and a first-order logic for reasoning about higher-order upper and lower probabilities. We provide sound and complete axiomatizations for the logics and we prove decidability in the propositional case. Furthermore, we show that the introduced logics generalize some existing probability logics.
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  4.  8
    Group Conformity in Social Networks.Colby Morrison & Pavel Naumov - 2020 - Journal of Logic, Language and Information 29 (1):3-19.
    Diffusion in social networks is a result of agents’ natural desires to conform to the behavioral patterns of their peers. In this article we show that the recently proposed “propositional opinion diffusion model” could be used to model an agent’s conformity to different social groups that the same agent might belong to, rather than conformity to the society as whole. The main technical contribution of this article is a sound and complete logical system describing the properties of the influence relation (...)
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  5.  7
    A Closeness- and Priority-Based Logical Study of Social Network Creation.Sonja Smets & Fernando R. Velázquez-Quesada - 2020 - Journal of Logic, Language and Information 29 (1):21-51.
    This paper is part of an on-going programme on the study of the logical aspects of social network formation. It recalls the so-called social network model, discussing the properties of a notion of closeness between agents ; then introduces an extended social network model in which different agents might assign different values to different traits, discussing the properties of the notion of weighted closeness that arises. These notions are used to define social network creation operations by means of a threshold (...)
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  6.  7
    On the Logic of Balance in Social Networks.Zuojun Xiong & Thomas Ågotnes - 2020 - Journal of Logic, Language and Information 29 (1):53-75.
    Modal logics for reasoning about social networks is currently an active field of research. There is still a gap, however, between the state of the art in logical formalisations of concepts related to social networks and the much more mature field of social network analysis. In this paper we take a step to bridge that gap. One of the key foundations of social network analysis is balance theory, which is used to analyse signed social networks where agents can have positive (...)
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