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  1. AGM 25 Years: Twenty-Five Years of Research in Belief Change.Eduardo Fermé & Sven Ove Hansson - 2011 - Journal of Philosophical Logic 40 (2):295-331.
    The 1985 paper by Carlos Alchourrón, Peter Gärdenfors, and David Makinson, “On the Logic of Theory Change: Partial Meet Contraction and Revision Functions” was the starting-point of a large and rapidly growing literature that employs formal models in the investigation of changes in belief states and databases. In this review, the first twenty-five years of this development are summarized. The topics covered include equivalent characterizations of AGM operations, extended representations of the belief states, change operators not included in the original (...)
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  • Are explicatures cancellable?Alessandro Capone - 2009 - Intercultural Pragmatics 6 (1):55-83.
    Explicatures are not cancellable. Theoretical considerations.
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  • Why argue? Towards a cost–benefit analysis of argumentation.Cristiano Castelfranchi & Fabio Paglieri - 2010 - Argument and Computation 1 (1):71-91.
    This article proposes a cost-benefit analysis of argumentation, with the aim of highlighting the strategic considerations that govern the agent's decision to argue or not. In spite of its paramount importance, the topic of argumentative decision-making has not received substantial attention in argumentation theories so far. We offer an explanation for this lack of consideration and propose a tripartite taxonomy and detailed description of the strategic reasons considered by arguers in their decision-making: benefits, costs, and dangers. We insist that the (...)
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  • Dialogue Types, Argumentation Schemes, and Mathematical Practice: Douglas Walton and Mathematics.Andrew Aberdein - 2021 - Journal of Applied Logics 8 (1):159-182.
    Douglas Walton’s multitudinous contributions to the study of argumentation seldom, if ever, directly engage with argumentation in mathematics. Nonetheless, several of the innovations with which he is most closely associated lend themselves to improving our understanding of mathematical arguments. I concentrate on two such innovations: dialogue types (§1) and argumentation schemes (§2). I argue that both devices are much more applicable to mathematical reasoning than may be commonly supposed.
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  • Processing Topics from the Beneficial Cognitive Model in Partially and Over-Successful Persuasion Dialogues.Kamila Debowska-Kozlowska - 2014 - Argumentation 28 (3):325-339.
    A persuasion dialogue is a dialogue in which a conflict between agents with respect to their points of view arises at the beginning of the talk and the agents have the shared, global goal of resolving the conflict and at least one agent has the persuasive aim to convince the other party to accept an opposing point of view. I argue that the persuasive force of argument may have not only extreme values but also intermediate strength. That is, I wish (...)
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  • Intentions in the Light of Goals.Cristiano Castelfranchi - 2014 - Topoi 33 (1):103-116.
    This paper presents a systematic analysis of the various steps of goal-processing and intention creation, as the final outcome of goal-driven action generation. Intention theory has to be founded on goal theory: intentions require means-end reasoning and planning, conflict resolution, coherence. The process of intention formation and intentional action execution is strictly based on specific sets of beliefs (predictions, evaluations, calculation of costs, responsibility beliefs, competence, etc.). The origin of an intention is not necessarily a “desire” (which is just a (...)
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  • Making our ends meet: shared intention, goal adoption and the third-person perspective.Luca Tummolini - 2014 - Phenomenology and the Cognitive Sciences 13 (1):75-98.
    Mind reading (i.e. the ability to infer the mental state of another agent) is taken to be the main cognitive ability required to share an intention and to collaborate. In this paper, I argue that another cognitive ability is also necessary to collaborate: representing others’ and ones’ own goals from a third-person perspective (other-centred or allocentric representation of goals). I argue that allocentric mind reading enables the cognitive ability of goal adoption, i.e. having the goal that another agent’s achieve p (...)
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  • A Logic Of Trust And Reputation.Andreas Herzig, Emiliano Lorini, Jomi Hübner & Laurent Vercouter - 2010 - Logic Journal of the IGPL 18 (1):214-244.
    The aim of this paper is to present a logical framework in which the concepts of trust and reputation can be formally characterized and their properties studied. We start from the definition of trust proposed by Castelfranchi & Falcone . We formalize this definition in a logic of time, action, beliefs and choices. Then, we provide a refinement of C&F’s definition by distinguishing two general types of trust: occurrent trust and dispositional trust. In the second part of the paper we (...)
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  • A logical formalization of the OCC theory of emotions.C. Adam, A. Herzig & D. Longin - 2009 - Synthese 168 (2):201-248.
    In this paper, we provide a logical formalization of the emotion triggering process and of its relationship with mental attitudes, as described in Ortony, Clore, and Collins’s theory. We argue that modal logics are particularly adapted to represent agents’ mental attitudes and to reason about them, and use a specific modal logic that we call Logic of Emotions in order to provide logical definitions of all but two of their 22 emotions. While these definitions may be subject to debate, we (...)
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  • The Strength of Desires: A Logical Approach.Didier Dubois, Emiliano Lorini & Henri Prade - 2017 - Minds and Machines 27 (1):199-231.
    The aim of this paper is to propose a formal approach to reasoning about desires, understood as logical propositions which we would be pleased to make true, also acknowledging the fact that desire is a matter of degree. It is first shown that, at the static level, desires should satisfy certain principles that differ from those to which beliefs obey. In this sense, from a static perspective, the logic of desires is different from the logic of beliefs. While the accumulation (...)
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  • A Computational Learning Semantics for Inductive Empirical Knowledge.Kevin T. Kelly - 2014 - In Alexandru Baltag & Sonja Smets (eds.), Johan van Benthem on Logic and Information Dynamics. Cham, Switzerland: Springer International Publishing. pp. 289-337.
    This chapter presents a new semantics for inductive empirical knowledge. The epistemic agent is represented concretely as a learner who processes new inputs through time and who forms new beliefs from those inputs by means of a concrete, computable learning program. The agent’s belief state is represented hyper-intensionally as a set of time-indexed sentences. Knowledge is interpreted as avoidance of error in the limit and as having converged to true belief from the present time onward. Familiar topics are re-examined within (...)
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  • Mirroring cannot account for understanding action.Jeremy I. M. Carpendale & Charlie Lewis - 2008 - Behavioral and Brain Sciences 31 (1):23-24.
    Susan Hurley's shared circuits model (SCM) rightly begins in action and progresses through a series of layers; but it fails to reach action understanding because it relies on mirroring as a driving force, draws on heavily criticized theories, and neglects the need for shared experience in our grasp of social understanding.
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  • Self‐Defeating Goals.Sven Ove Hansson, Karin Edvardsson Björnberg & John Cantwell - 2016 - Dialectica 70 (4):491-512.
    The typical function of goals is to regulate action in a way that furthers goal achievement. Goals are typically set on the assumption that they will help bring the agent closer to the desired state of affairs. However, sometimes endorsement of a goal, or the processes by which the goal is set, can obstruct its achievement. When this happens, the goal is self-defeating. Self-defeating goals are common in both private and social decision-making but have not received much attention by decision (...)
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  • Johan van Benthem on Logic and Information Dynamics.Alexandru Baltag & Sonja Smets (eds.) - 2014 - Cham, Switzerland: Springer International Publishing.
    This book illustrates the program of Logical-Informational Dynamics. Rational agents exploit the information available in the world in delicate ways, adopt a wide range of epistemic attitudes, and in that process, constantly change the world itself. Logical-Informational Dynamics is about logical systems putting such activities at center stage, focusing on the events by which we acquire information and change attitudes. Its contributions show many current logics of information and change at work, often in multi-agent settings where social behavior is essential, (...)
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  • Trust, relevance, and arguments.Fabio Paglieri & Cristiano Castelfranchi - 2014 - Argument and Computation 5 (2-3):216-236.
    This paper outlines an integrated approach to trust and relevance with respect to arguments: in particular, it is suggested that trust in relevance has a central role in argumentation. We first distinguish two types of argumentative relevance: internal relevance, i.e. the extent to which a premise has a bearing on its purported conclusion, and external relevance, i.e. a measure of how much a whole argument is pertinent to the matter under discussion, in the broader dialogical context where it is proposed. (...)
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  • The role of goals in belief selection.G. Boella, C. da Costa Pereira, G. Pigozzi, A. Tettamanzi & L. van der Torre - 2010 - Logic Journal of the IGPL 18 (4):559-578.
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  • Cautiously utopian goals : Philosophical analyses of climate change objectives and sustainability targets.Patrik Baard - 2016 - Dissertation, Kth Royal Institute of Technology
    In this thesis, the framework within which long-term goals are set and subsequently achieved or approached is analyzed. Sustainable development and climate change are areas in which goals have tobe set despite uncertainties. The analysis is divided into the normative motivations for setting such goals, what forms of goals could be set given the empirical and normative uncertainties, and how tomanage doubts regarding achievability or values after a goal has been set. Paper I discusses a set of questions that moral (...)
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  • Computer-mediated trust in self-interested expert recommendations.Jonathan Ben-Naim, Jean-François Bonnefon, Andreas Herzig, Sylvie Leblois & Emiliano Lorini - 2010 - AI and Society 25 (4):413-422.
    Important decisions are often based on a distributed process of information processing, from a knowledge base that is itself distributed among agents. The simplest such situation is that where a decision-maker seeks the recommendations of experts. Because experts may have vested interests in the consequences of their recommendations, decision-makers usually seek the advice of experts they trust. Trust, however, is a commodity that is usually built through repeated face time and social interaction and thus cannot easily be built in a (...)
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  • More than control freaks: Evaluative and motivational functions of goals.Fabio Paglieri & Cristiano Castelfranchi - 2008 - Behavioral and Brain Sciences 31 (1):35-36.
    True to its sensorimotor inspiration, Hurley's shared circuits model (SCM) describes goal-states only within a homeostatic mechanism for action control, neglecting to consider other functions of goals control freaks.”.
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  • Recognition-primed group decisions via judgement aggregation.Marija Slavkovik & Guido Boella - 2012 - Synthese 189 (S1):51-65.
    We introduce a conceptual model for reaching group decisions. Our model extends a well-known, single-agent cognitive model, the recognition-primed decision (RPD) model. The RPD model includes a recognition phase and an evaluation phase. Group extensions of the RPD model, applicable to a group of RPD agents, have been considered in the literature, however the proposed models do not formalize how distributed and possibly inconsistent information can be combined in either phase. We show how such information can be utilized by aggregating (...)
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  • What levels of explanation in the behavioural sciences?Giuseppe Boccignone & Roberto Cordeschi (eds.) - 2015 - Frontiers Media SA.
    Complex systems are to be seen as typically having multiple levels of organization. For instance, in the behavioural and cognitive sciences, there has been a long lasting trend, promoted by the seminal work of David Marr, putting focus on three distinct levels of analysis: the computational level, accounting for the What and Why issues, the algorithmic and the implementational levels specifying the How problem. However, the tremendous developments in neuroscience knowledge about processes at different scales of organization together with the (...)
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