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  1.  51
    (1 other version)Methods and Finance: A Unifying View on Finance, Mathematics and Philosophy.Ping Chen & Emiliano Ippoliti (eds.) - 2017 - Cham: Springer Verlag.
    The book offers an interdisciplinary perspective on finance, with a special focus on stock markets. It presents new methodologies for analyzing stock markets’ behavior and discusses theories and methods of finance from different angles, such as the mathematical, physical and philosophical ones. The book, which aims at philosophers and economists alike, represents a rare yet important attempt to unify the externalist with the internalist conceptions of finance.
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  2.  16
    Methods and Finance. A View From Inside.Emiliano Ippoliti - 2017 - In Ping Chen & Emiliano Ippoliti (eds.), Methods and Finance: A Unifying View on Finance, Mathematics and Philosophy. Cham: Springer Verlag.
    The view from inside maintains that not only to study and understand, but also to profit from financial markets, it is necessary to get as much knowledge as possible about their internal ‘structure’ and machinery. This view maintains that in order to solve the problems posed by finance, or at least a large part of them, we need first of all a qualitative analysis. Rules, laws, institutions, regulators, the behavior and the psychology of traders and investors are the key elements (...)
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  3.  48
    Building Theories: Heuristics and Hypotheses in Sciences.David Danks & Emiliano Ippoliti (eds.) - 2018 - Cham: Springer International Publishing.
    This book explores new findings on the long-neglected topic of theory construction and discovery, and challenges the orthodox, current division of scientific development into discrete stages: the stage of generation of new hypotheses; the stage of collection of relevant data; the stage of justification of possible theories; and the final stage of selection from among equally confirmed theories. The chapters, written by leading researchers, offer an interdisciplinary perspective on various aspects of the processes by which theories rationally should, and descriptively (...)
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  4.  42
    Mathematics and Finance: Some Philosophical Remarks.Emiliano Ippoliti - 2021 - Topoi 40 (4):771-781.
    I examine the role that mathematics plays in understanding and modelling finance, especially stock markets, and how philosophy affects it. To this end, I explore how mathematics penetrates finance via physics, constructing a ‘financial physics’, and I outline the philosophical backgrounds of this process, in particular the ‘philosophy of equilibrium’ and that of critical points or ‘out-of-equilibrium’. I discuss the main characteristics and a few weaknesses of these mathematizations of financial systems, notably econometrics and econophysics, and I compare the two (...)
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  5.  64
    Scientific Discovery Reloaded.Emiliano Ippoliti - 2020 - Topoi 39 (4):847-856.
    The way scientific discovery has been conceptualized has changed drastically in the last few decades: its relation to logic, inference, methods, and evolution has been deeply reloaded. The ‘philosophical matrix’ moulded by logical empiricism and analytical tradition has been challenged by the ‘friends of discovery’, who opened up the way to a rational investigation of discovery. This has produced not only new theories of discovery, but also new ways of practicing it in a rational and more systematic way. Ampliative rules, (...)
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  6. Dark Data. Some Methodological Issues in Finance.Emiliano Ippoliti - 2017 - In Ping Chen & Emiliano Ippoliti (eds.), Methods and Finance: A Unifying View on Finance, Mathematics and Philosophy. Cham: Springer Verlag.
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  7.  39
    Introduction: Scientific Discovery and Inference.Emiliano Ippoliti & Tom Nickles - 2020 - Topoi 39 (4):835-839.
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  8. Ways of Advancing Knowledge. A Lesson from Knot Theory and Topology.Emiliano Ippoliti - 1st ed. 2016 - In Emiliano Ippoliti, Fabio Sterpetti & Thomas Nickles (eds.), Models and Inferences in Science. Cham: Springer. pp. 147--172.
     
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  9.  10
    What is a financial crash?Emiliano Ippoliti - 2023 - Rivista di Estetica 84:7-24.
    What is a financial crash, and why does it happen? The answers to these fundamental questions require an investigation of the ontological and epistemic state of the financial markets which will identify the causes of a financial crash, the entities involved, and the relations between them.To this end, I examine several theories on financial systems which have conceptualized financial crashes. I analyze how these theories: a) identify different causes of a crash; b) deal with the basic entities and units of (...)
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  10. Models and Inferences in Science.Emiliano Ippoliti, Fabio Sterpetti & Thomas Nickles (eds.) - 1st ed. 2016 - Cham: Springer.
    The book answers long-standing questions on scientific modeling and inference across multiple perspectives and disciplines, including logic, mathematics, physics and medicine. The different chapters cover a variety of issues, such as the role models play in scientific practice; the way science shapes our concept of models; ways of modeling the pursuit of scientific knowledge; the relationship between our concept of models and our concept of science. The book also discusses models and scientific explanations; models in the semantic view of theories; (...)
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  11.  26
    Undecidability of the Spectral Gap: An Epistemological Look.Emiliano Ippoliti & Sergio Caprara - 2021 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 52 (1):157-170.
    The results of Cubitt et al. on the spectral gap problem add a new chapter to the issue of undecidability in physics, as they show that it is impossible to decide whether the Hamiltonian of a quantum many-body system is gapped or gapless. This implies, amongst other things, that a reductionist viewpoint would be untenable. In this paper, we examine their proof and a few philosophical implications, in particular ones regarding models and limitative results. In more detail, we examine the (...)
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  12. Models and Data in Finance: les Liaisons Dangereuses.Emiliano Ippoliti - 2019 - In Matthieu Fontaine, Cristina Barés-Gómez, Francisco Salguero-Lamillar, Lorenzo Magnani & Ángel Nepomuceno-Fernández (eds.), Model-Based Reasoning in Science and Technology: Inferential Models for Logic, Language, Cognition and Computation. Springer Verlag.
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  13.  10
    Logica.Emiliano Ippoliti - 2016 - Milano: Egea. Edited by Carlo Cellucci.
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  14.  20
    Heuristic Reasoning.Emiliano Ippoliti (ed.) - 2014 - Springer.
    reasoning is a risk-aversion strategy: it aims at minimizing as much as possible the possibility of doing mistakes, but in order to reach this goal it pays a cost, that is the fact that the novel epistemic gain it offers is small or negligible.
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  15.  20
    Heuristics and Inferential Microstructures: The Path to Quaternions.Emiliano Ippoliti - 2019 - Foundations of Science 24 (3):411-425.
    I investigate the construction of the mathematical concept of quaternion from a methodological and heuristic viewpoint to examine what we can learn from it for the study of the advancement of mathematical knowledge. I will look, in particular, at the inferential microstructures that shape this construction, that is, the study of both the very first, ampliative inferential steps, and their tentative outcomes—i.e. small ‘structures’ such as provisional entities and relations. I discuss how this paradigmatic case study supports the recent approaches (...)
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  16.  37
    Why Finance Needs Philosophy (and Vice Versa): Some Epistemic and Methodological Issues.Emiliano Ippoliti - 2021 - Foundations of Science 27 (3):957-974.
    As the world economy has for better or worse become more and more dependent on the financial markets, a rethinking of the role of finance in both theory and practice is necessary. I argue that such a rethinking requires a new look at the theories of finance that is philosophical in kind. In effect, as Martha Nussbaum claims, if the absence of philosophy in economics is arguably one of the main reasons for the flaws in certain economic theories, the absence (...)
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  17.  64
    A Role for Representation Theorems†.Emiliano Ippoliti - 2018 - Philosophia Mathematica 26 (3):396-412.
    I argue that the construction of representation theorems is a powerful tool for creating novel objects and theories in mathematics, as the construction of a new representation introduces new pieces of information in a very specific way that enables a solution for a problem and a proof of a new theorem. In more detail I show how the work behind the proof of a representation theorem transforms a mathematical problem in a way that makes it tractable and introduces information into (...)
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  18.  18
    Deduction and Ampliativity: A Critical Appraisal.Emiliano Ippoliti - 2024 - In Antonio Piccolomini D'Aragona (ed.), Perspectives on Deduction: Contemporary Studies in the Philosophy, History and Formal Theories of Deduction. Springer Verlag. pp. 233-250.
    The ampliativity of deduction has been defended in several ways—such as the semi-decidability of the theories, the surprise of unexpected consequences, the need of new individuals in deduction, or ampliative inference as deduction with suppressed premises (Dummett, Frege. Philosophy of mathematics. Duckworth, London, 1991; Hintikka, Logic, language-games and information. Oxford University Press, Oxford, 1973; Musgrave, Imre Lakatos and theories of scientific change. Kluwer, Boston, 1989; Rota, Indiscrete thoughts. Birkhäuser, Boston, 1997). These lines of defensive arguments fail if we characterize ampliativity (...)
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  19. Modeling and Inferring in Science.Emiliano Ippoliti, Thomas Nickles & Fabio Sterpetti - 1st ed. 2016 - In Emiliano Ippoliti, Fabio Sterpetti & Thomas Nickles (eds.), Models and Inferences in Science. Cham: Springer. pp. 1-9.
    Science continually contributes new models and rethinks old ones. The way inferences are made is constantly being re-evaluated. The practice and achievements of science are both shaped by this process, so it is important to understand how models and inferences are made. But, despite the relevance of models and inference in scientific practice, these concepts still remain contro-versial in many respects. The attempt to understand the ways models and infer-ences are made basically opens two roads. The first one is to (...)
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  20.  33
    The explanatory and heuristic power of mathematics.Marianna Antonutti Marfori, Sorin Bangu & Emiliano Ippoliti - 2023 - Synthese 201 (5):1-12.
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  21.  15
    Mathematical Models of Time as a Heuristic Tool.Emiliano Ippoliti - 2006 - In Lorenzo Magnani & Claudia Casadio (eds.), Model Based Reasoning in Science and Technology. Logical, Epistemological, and Cognitive Issues. Cham, Switzerland: Springer International Publishing.
    This paper sets out to show how mathematical modelling can serve as a way of ampliating knowledge. To this end, I discuss the mathematical modelling of time in theoretical physics. In particular I examine the construction of the formal treatment of time in classical physics, based on Barrow’s analogy between time and the real number line, and the modelling of time resulting from the Wheeler-DeWitt equation. I will show how mathematics shapes physical concepts, like time, acting as a heuristic means—a (...)
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  22.  30
    On the heuristic power of mathematical representations.Emiliano Ippoliti - 2022 - Synthese 200 (5):1-28.
    I argue that mathematical representations can have heuristic power since their construction can be ampliative. To this end, I examine how a representation introduces elements and properties into the represented object that it does not contain at the beginning of its construction, and how it guides the manipulations of the represented object in ways that restructure its components by gradually adding new pieces of information to produce a hypothesis in order to solve a problem.In addition, I defend an ‘inferential’ approach (...)
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  23.  31
    Introduction: Philosophy for Finance.Emiliano Ippoliti - 2021 - Topoi 40 (4):707-713.
  24.  14
    From a Heuristic Point of View: Essays in Honour of Carlo Cellucci.Cesare Cozzo & Emiliano Ippoliti (eds.) - 2014 - Cambridge Scholars Press.
    How do we get new knowledge? Following the maverick tradition in the philosophy of science, Carlo Cellucci gradually came to the conclusion that logic can only fulfill its role in mathematics, science and philosophy if it helps us to answer this question. He argues that mathematical logic is inadequate and that we need a new logic, framed in a naturalistic conception of knowledge and philosophy - the heuristic conception. This path from logic to a naturalistic conception of knowledge and philosophy (...)
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  25. Building Theories: The Heuristic Way.Emiliano Ippoliti - 2018 - In David Danks & Emiliano Ippoliti (eds.), Building Theories: Heuristics and Hypotheses in Sciences. Cham: Springer International Publishing.
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  26.  2
    Do predictions destroy predictability? A study focusing on stock markets.Emiliano Ippoliti - forthcoming - Logic Journal of the IGPL.
    Predicting stock markets is a problem that has generated many answers. According to one group of responses, the divergence thesis, it is impossible to accomplish this since the prediction has a ‘bending effect’ that would cause the market to behave in a way that would permanently depart from what was predicted, i.e. the prediction would falsify itself. There are at least three types of impossibility: logical, theoretical and empirical. A second class of responses argues that despite the ‘bending effect’ of (...)
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  27. Heuristic Logic. A Kernel.Emiliano Ippoliti - 2018 - In David Danks & Emiliano Ippoliti (eds.), Building Theories: Heuristics and Hypotheses in Sciences. Cham: Springer International Publishing.
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  28.  72
    Logic and Knowledge.Emiliano Ippoliti, Carlo Cellucci & Emily Grosholz (eds.) - 2011 - Newcastle upon Tyne: Cambridge Scholar Publishing.
    Logic and Knowledge -/- Editor: Carlo Cellucci, Emily Grosholz and Emiliano Ippoliti Date Of Publication: Aug 2011 Isbn13: 978-1-4438-3008-9 Isbn: 1-4438-3008-9 -/- The problematic relation between logic and knowledge has given rise to some of the most important works in the history of philosophy, from Books VI–VII of Plato’s Republic and Aristotle’s Prior and Posterior Analytics, to Kant’s Critique of Pure Reason and Mill’s A System of Logic, Ratiocinative and Inductive. It provides the title of an important collection of papers (...)
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  29. La Scoperta Scientifica: Rinascita e Raffinamento dei Metodi.Emiliano Ippoliti - 2019 - In Stefano Velotti & Alessandro D. Conti (eds.), Gli strumenti del Pensiero. Roma-Bari: Laterza. pp. 935-964.
    (ENG) The paper examines the main approaches developed in the XIX and XX century to account for the way scientific discover unfolds. -/- (ITA) L'articolo esamina le principali teorie filosofico-scientifiche elaborate nell'800 e nle '900 per render conto dei processi di scoperta scientifica.
     
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  30. La scoperta scientifica: la ricerca di un metodo e il suo smarrimento.Emiliano Ippoliti - 2019 - In Stefano Velotti & Alessandro Conti (eds.), Strumenti del Pensiero. Vol. 2. Laterza. pp. 935-964.
    (ENG) The paper examines the first attempts put forward in ancient Greek to build a method for scientific discovery and how they have been progressively neglected. -/- (ITA) L'articolo esamina i primi tentativi effettuati nell'antica grecia di costruire un metodo della scoperta scientifica, e analizza le ragioni che hanno portato al suo progessivo abbandono.
     
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  31.  31
    Manufacturing a Mathematical Group: A Study in Heuristics.Emiliano Ippoliti - 2020 - Topoi 39 (4):963-971.
    I examine the way a relevant conceptual novelty in mathematics, that is, the notion of group, has been constructed in order to show the kinds of heuristic reasoning that enabled its manufacturing. To this end, I examine salient aspects of the works of Lagrange, Cauchy, Galois and Cayley. In more detail, I examine the seminal idea resulting from Lagrange’s heuristics and how Cauchy, Galois and Cayley develop it. This analysis shows us how new mathematical entities are generated, and also how (...)
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