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Emiliano Ippoliti
Università degli Studi di Roma La Sapienza
  1.  30
    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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  2. Dark Data. Some Methodological Issues in Finance.Emiliano Ippoliti - 2017 - In Ping Chen & Emiliano Ippoliti (eds.), Methods and Finance. Springer Verlag.
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  3.  20
    Methods and Finance: A Unifying View on Finance, Mathematics and Philosophy.Ping Chen & Emiliano Ippoliti (eds.) - 2017 - 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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  4.  2
    Methods and Finance. A View From Inside.Emiliano Ippoliti - 2017 - In Ping Chen & Emiliano Ippoliti (eds.), Methods and Finance. 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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  5.  19
    Introduction: Scientific Discovery and Inference.Emiliano Ippoliti & Tom Nickles - 2020 - Topoi 39 (4):835-839.
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  6.  10
    Building Theories: Heuristics and Hypotheses in Sciences.David Danks & Emiliano Ippoliti (eds.) - 2018 - 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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  7. 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. Springer Verlag.
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  8. Ways of Advancing Knowledge. A Lesson From Knot Theory and Topology.Emiliano Ippoliti - 2016 - In Emiliano Ippoliti, Fabio Sterpetti & Thomas Nickles (eds.), Models and Inferences in Science. Springer. pp. 147--172.
     
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  9.  6
    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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  10.  8
    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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  11.  44
    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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  12. Models and Inferences in Science.Emiliano Ippoliti, Fabio Sterpetti & Thomas Nickles (eds.) - 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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  13. Modeling and Inferring in Science.Emiliano Ippoliti, Thomas Nickles & Fabio Sterpetti - 2016 - In Emiliano Ippoliti, Fabio Sterpetti & Thomas Nickles (eds.), Models and Inferences in Science. 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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  14.  9
    Logic and Knowledge.Carlo Cellucci, Emily Grosholz & Emiliano Ippoliti (eds.) - 2011 - Cambridge Scholars Publications.
    The problematic relation between logic and knowledge has given rise to some of the most important works in the history of philosophy, from Books VIVII of Platos Republic and Aristotles Prior and Posterior Analytics, to Kants Critique of Pure Reason and Mills A System of Logic, Ratiocinative and Inductive. It provides the title of an important collection of papers by Bertrand Russell. However, it has remained an underdeveloped theme in the last century, because logic has been treated as separate from (...)
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  15.  52
    Logic and Knowledge.Emiliano Ippoliti, Carlo Cellucci & Emily Grosholz (eds.) - 2011 - 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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  16.  9
    Why Finance Needs Philosophy (and Vice Versa): Some Epistemic and Methodological Issues.Emiliano Ippoliti - forthcoming - Foundations of Science:1-18.
    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.  6
    Introduction: Philosophy for Finance.Emiliano Ippoliti - 2021 - Topoi 40 (4):707-713.
  18.  22
    Mathematics and Finance: Some Philosophical Remarks.Emiliano Ippoliti - 2020 - 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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  19. 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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  20. La Scoperta Scientifica: Rinascita e Raffinamento dei Metodi.Emiliano Ippoliti - 2019 - In Stefano Velotti & Luigi Conti (eds.), Gli strumenti del Pensier. Rome: 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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  21. La scoperta scientifica: la ricerca di un metodo e il suo smarrimento.Emiliano Ippoliti - 2019 - In Stefano Velotti & Luigi Conti (eds.), Strumenti del Pensiero. Vol. 2. Rome: 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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  22. 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. Springer Verlag.
    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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  23.  15
    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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  24.  7
    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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