We need to understand the impossible. Francesco Berto and Mark Jago start by considering what the concepts of meaning, information, knowledge, belief, fiction, conditionality, and counterfactual supposition have in common. They are all concepts which divide the world up more finely than logic does. Logically equivalent sentences may carry different meanings and information and may differ in how they're believed. Fictions can be inconsistent yet meaningful. We can suppose impossible things without collapsing into total incoherence. Yet for the leading philosophical (...) theories of meaning, these phenomena are an unfathomable mystery. To understand these concepts, we need a metaphysical, logical, and conceptual grasp of situations that could not possibly exist: Impossible Worlds. This book discusses the metaphysics of impossible worlds and applies the concept to a range of central topics and open issues in logic, semantics, and philosophy. It considers problems in the logic of knowledge, the meaning of alternative logics, models of imagination and mental simulation, the theory of information, truth in fiction, the meaning of conditional statements, and reasoning about the impossible. In all these cases, impossible worlds have an essential role to play. (shrink)

Brentanos 1904 vollendete Theorie, nur Reales sei vorstellbar und könne existieren, führte auch unter seinen Schülern zu Kontroversen. Dieser Band enthält eine umfangreiche Studie, die Einleitung der Herausgeber zu diesem Problemkreis, Auszüge aus dem Briefwechsel mit A. Marty und O. Kraus sowie die einschlägigen Abhandlungen Brentanos.

H. 46 und H 47: >Geschichte der Philosophie mit älteren, von Brentano ausgeschiedenen Blättern. ... Vorlesung über >Geschichte der mittelalterlichen Philosophie im christlichen Abendland< nicht mehr angekündigt worden. ' Die von F.

While the importance of social norms for shaping and transforming communities is uncontested, their nature and normativity are controversial. Most recent theorists take social norms to arise if members hold certain attitudes, such as expectations on others, perhaps along with certain behaviours. Yet attitudes do not create norms, let alone social norms or social normativity. Social norms are instead ‘made’: through a social process. Social norming processes are special communication processes, often non-verbal and informal. We present different versions of a (...) process-based account of social norms and social normativity. The process-based view brings social norms closer to legal norms, as processes represent social ‘acts’, just as laws and contracts arise through acts rather than mere attitudes, for instances acts of voting or signing. (shrink)

Democratic decision-making is often defended on grounds of the ‘wisdom of crowds’: decisions are more likely to be correct if they are based on many independent opinions, so a typical argument in social epistemology. But what does it mean to have independent opinions? Opinions can be probabilistically dependent (threatening the ‘wisdom of crowds’) even if individuals form their opinion in causal isolation from each other. We distinguish four probabilistic notions of opinion independence. Which of them holds depends on how individuals (...) are causally affected by environmental factors such as commonly perceived evidence. In a general theorem, we identify causal conditions guaranteeing each kind of opinion independence. These results have implications for whether and how ‘wisdom of crowds’ arguments are possible, and how truth-conducive institutions can be designed. (shrink)

Emotions are a core factor of learning. Studies have shown that multiple emotions are co-experienced during learning and have a significant impact on learning outcomes. The present study investigated the importance of multiple, co-occurring emotions during learning about human biology with MetaTutor, a hypermedia-based intelligent tutoring system. Person-centered as well as variable-centered approaches of cluster analyses were used to identify emotion clusters. The person-centered clustering analyses indicated three emotion profiles: a positive, negative and neutral profile. Students with a negative profile (...) learned less than those with other profiles and also reported less usage of emotion regulation strategies. Emotion clusters identified through spectral co-clustering confirmed these results. Throughout the learning activity, emotions built a stable correlational structure of a positive, a negative, a neutral and a boredom emotion cluster. Positive emotion cluster scores before the learning activity and negative emotion cluster scores during the learning activity predicted learning, but not consistently. These results reveal the importance of negative emotions during learning with MetaTutor. Potential moderating factors and implications for the design and development of educational interventions that target emotions and emotion regulation with digital learning environments are discussed. (shrink)

In this brief note I show how to model conceptual change, logical learning, and revision of one's beliefs in response to conditional information such as indicative conditionals that do not express propositions.

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