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Added by: Franci Mangraviti
From the Introduction: "Andrea Nye is also concerned with the role of logic in science, linking the adequacy of logic with its applicability in a domain of scientific knowledge. Nye argues that the dominant predicate logic cannot adequately represent the issues surrounding attempts to divide organisms into species. Feminist critiques of the extensional theory of meaning lay the ground for alternative theories of categorization. Without renewed models of categorization, Nye submits, science is in danger of becoming a self-enclosed “logical” system, rather than an instrumental model of reality."
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Added by: Franci MangravitiPublisher’s Note:
Is logic masculine? Is women's lack of interest in the "hard core" philosophical disciplines of formal logic and semantics symptomatic of an inadequacy linked to sex? Is the failure of women to excel in pure mathematics and mathematical science a function of their inability to think rationally? Andrea Nye undermines the assumptions that inform these questions, assumptions such as: logic is unitary, logic is independenet of concrete human relations, and logic transcends historical circumstances as well as gender. In a series of studies of the logics of historical figures--Parmenides, Plato, Aristotle, Zeno, Abelard, Ockham, and Frege--she traces the changing interrelationships between logical innovation and oppressive speech strategies, showing that logic is not transcendent truth but abstract forms of language spoken by men, whether Greek ruling citizens, or scientists.
Comment: available in this Blueprint
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Added by: Chris Blake-Turner, Contributed by: Cailin O'ConnorAbstract: Vague predicates, those that exhibit borderline cases, pose a persistent problem for philosophers and logicians. Although they are ubiquitous in natural language, when used in a logical context, vague predicates lead to contradiction. This paper will address a question that is intimately related to this problem. Given their inherent imprecision, why do vague predicates arise in the first place? I discuss a variation of the signaling game where the state space is treated as contiguous, i.e., endowed with a metric that captures a similarity relation over states. This added structure is manifested in payoffs that reward approximate coordination between sender and receiver as well as perfect coordination. I evolve these games using a variation of Herrnstein reinforcement learning that better reflects the generalizing learning strategies real-world actors use in situations where states of the world are similar. In these simulations, signaling can develop very quickly, and the signals are vague in much the way ordinary language predicates are vague - they each exclusively apply to certain items, but for some transition period both signals apply to varying degrees. Moreover, I show that under certain parameter values, in particular when state spaces are large and time is limited, learning generalization of this sort yields strategies with higher payoffs than standard Herrnstein reinforcement learning. These models may then help explain why the phenomenon of vagueness arises in natural language: the learning strategies that allow actors to quickly and effectively develop signaling conventions in contiguous state spaces make it unavoidable
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Added by: Björn FreterAbstract: University of Nairobi’s Reginald M. J. Oduor talks to Anteneh Roba and Rainer Ebert.
Comment (from this Blueprint): A general introduction into African philosophy and ethics with a focus on the role of non-human animal life in African philosophy, explaining that in in indigenous African thought, humans are not understood as animals, but as a class of their own superior to the class of animals.
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Added by: Laura JimenezPublisher's Note: Does natural selection act primarily on individual organisms, on groups, on genes, or on whole species? This book provides a comprehensive analysis of the long-standing controversy in evolutionary biology over the levels of selection, focusing on conceptual, philosophical, and foundational questions. In the first half of the book, a systematic framework is developed for thinking about natural selection acting at multiple levels of the biological hierarchy; the framework is then used to help resolve outstanding issues. Considerable attention is paid to the concept of causality as it relates to the levels of selection, particularly the idea that natural selection at one hierarchical level can have effects that 'filter' up or down to other levels. Full account is taken of the recent biological literature on 'major evolutionary transitions' and the recent resurgence of interest in multi-level selection theory among biologists. Other biological topics discussed include Price's equation, kin and group selection, the gene's eye view, evolutionary game theory, selfish genetic elements, species and clade selection, and the evolution of individuality. Philosophical topics discussed include reductionism and holism, causation and correlation, the nature of hierarchical organization, and realism and pluralism about the levels of selection.
Comment: This book integrates the biological and philosophical discussions and offers in-depth analysis of multi-level selection theory. The author is fully informed by the latest work in evolutionary biology. Recommended for postgraduate courses in philosophy of science focusing in philosophy of biology.
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Added by: Laura JimenezSummary: It is customary to distinguish experimental from purely observational sciences. The former include physics and molecular biology, the latter astronomy and palaeontology. Surprisingly, mainstream philosophy of science has had rather little to say about the observational/experimental distinction. For example, discussions of confirmation usually invoke a notion of 'evidence', to be contrasted with 'theory' or 'hypothesis'; the aim is to understand how the evidence bears on the hypothesis. But whether this 'evidence' comes from observation or experiment generally plays no role in the discussion; this is true of both traditional and modern confirmation theories, Bayesian and non-Bayesian. In this article, the author sketches one possible explanation, by suggesting that observation and experiment will often differ in their confirmatory power. Based on a simple Bayesian analysis of confirmation, Okasha argues that universal generalizations (or 'laws') are typically easier to confirm by experimental intervention than by pure observation. This is not to say that observational confirmation of a law is impossible, which would be flatly untrue. But there is a general reason why confirmation will accrue more easily from experimental data, based on a simple though oft-neglected feature of Bayesian conditionalization.
Comment: Previous knowledge of Bayesian conditioning might be needed. The article is suitable for postgraduate courses in philosophy of science focusing in the distinction between observational and experimental science.
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Added by: Laura JimenezBack Matter: What is science? Is there a real difference between science and myth? Is science objective? Can science explain everything? This Very Short Introduction provides a concise overview of the main themes of contemporary philosophy of science. Beginning with a short history of science to set the scene, Samir Okasha goes on to investigate the nature of scientific reasoning, scientific explanation, revolutions in science, and theories such as realism and anti-realism. He also looks at philosophical issues in particular sciences, including the problem of classification in biology, and the nature of space and time in physics. The final chapter touches on the conflicts between science and religion, and explores whether science is ultimately a good thing.
Comment: The book is extremely readable and clear. It is perfect as an introduction for undergraduate students to philosophy of science. It offers an overview of the most important topics of the field including philosophical problems in biology, physics, and linguistics.
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Added by: Nick NovelliSummary: Okhrulik offers a feminist critique of biology, a "real" science, to show that it is not just the "soft" social sciences that are affected by bias. She argues that preconceptions can interfere not only in cases of "bad science", but even when the rules of scientific practice are followed. There is no safeguard against the effects of bias in the context of discovery. Even if theories are rigorously tested to remove bias, some theories might not even be generated and so would not get to the point of being counted as competitors in the testing stage. This is illustrated by a number of case studies. Okhrulik concludes that a diversity of viewpoints is crucial.
Comment: Presents a good case for why feminist critiques are relevant even to "harder" sciences, made more salient with easy-to-understand examples. Raises issues of theory-ladenness of observation and underdetermination of theory. A good introduction to reasons to doubt that science is completely "objective".
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Added by: Franci Mangraviti
From the Introduction: "Dorothea Olkowski’s chapter offers an analysis of the need to develop a logic of sense. Drawing on the work of Gilles Deleuze, Olkowski defends formal logic against feminist theorists who have urged that we organize thinking around the principles of embodiment. She warns us against the complete merging of bodily functions and sense-making activities. In Olkowski’s view, feminists need to acknowledge the usefulness of logical analyses at the same time that they must insist on formal systems that reflect and are tempered by human and humane values."
Comment: available in this Blueprint
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Added by: Carl FoxContent: Olsaretti is interested in the question of whether nonparents in a just society have a duty to share some of the costs of raising children with those people who choose to be parents. She considers the main argument in favour of that claim, that children are public goods. Although she sees some merit in the public goods approach, she develops an alternative socialised goods argument, which she holds to be ultimately stronger.
Comment: Helpful for examining issues around children, parents, non-parents and distributive justice, and also for thinking about individuals bearing responsibility for choices more generally. Could be a specialised required reading or further reading.
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Added by: Carl FoxAbstract: Are inequalities of income created by the free market just? In this book Serena Olsaretti examines two main arguments that justify those inequalities: the first claims that they are just because they are deserved, and the second claims that they are just because they are what free individuals are entitled to. Both these arguments purport to show, in different ways, that giving responsible individuals their due requires that free market inequalities in incomes be allowed. Olsaretti argues, however, that neither argument is successful, and shows that when we examine closely the principle of desert and the notions of liberty and choice invoked by defenders of the free market, it appears that a conception of justice that would accommodate these notions, far from supporting free market inequalities, calls for their elimination. Her book will be of interest to a wide range of readers in political philosophy, political theory and normative economics.
Comment: Attacks libertarian defences of market distributions on the grounds that they are either justified or the result of free choices. Provides a good counterpoint to Nozick's entitlement theory in particular, and draws out important issues on the relationship between choice, voluntariness, and responsibility. Olsaretti's own account of voluntariness, which she develops in the later chapters is hugely influential. Would make good reading for an in-depth treatment of libertarianism and/or Nozick's entitlement theory. Would also provide very substantial further reading.
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Added by: M. Jimena Clavel Vázquez and Andrés Hernández VillarrealAbstract:
Aztec psychological thought is described in this paper. The Pre-Columbian world of the Aztecs was characterized by Spanish chroniclers as being as sophisticated in the sciences and medicine as anything found in Europe at the time of the conquest of Mexico. This knowledge included a belief structure about the development of personality and the way in which Aztec society socialized the person. Concepts of psychological equilibrium and well-being are also found within Aztec medicine. Psychological dysfunctions were identified by Aztec healers and "talking" therapies not unlike today's psychotherapeutic techniques could be found.
Comment (from this Blueprint): The sections “Psychological well-being or in ixtli – in yollotl”, “Teachers of knowledge and face”, “Illness and the community”, and “Aztec healers or psychotherapists” provide a clear and helpful discussion on the concepts of destiny, free will, precarious nature of human beings on earth, and, more generally, on Nahua psychology.
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Added by: Nick NovelliAbstract: Experiments are commonly thought to have epistemic privilege over simulations. Two ideas underpin this belief: first, experiments generate greater inferential power than simulations, and second, simulations cannot surprise us the way experiments can. In this article I argue that neither of these claims is true of experiments versus simulations in general. We should give up the common practice of resting in-principle judgments about the epistemic value of cases of scientific inquiry on whether we classify those cases as experiments or simulations, per se. To the extent that either methodology puts researchers in a privileged epistemic position, this is context sensitive.
Comment: Valuable in raising questions about preconceptions of "science experiments". This article would be useful as part of a look at scientific methodology and the real value obtained from our scientific practices.
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Added by: Simon Fokt
Abstract: According to an adequacy-for-purpose view, models should be assessed with respect to their adequacy or fitness for particular purposes. Such a view has been advocated by scientists and philosophers alike. Important details, however, have yet to be spelled out. This article attempts to make progress by addressing three key questions: What does it mean for a model to be adequate-for-purpose? What makes a model adequate-for-purpose? How does assessing a model’s adequacy-for-purpose differ from assessing its representational accuracy? In addition, responses are given to some objections that might be raised against an adequacy-for-purpose view.
Comment: A good overview (and a defence) of the adequacy-for-purpose view on models. Makes the case that models should be assessed with respect to their adequacy for particular purposes.
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Added by: Clotilde Torregrossa, Contributed by: Simon FoktAbstract: This article identifies conditions under which robust predictive modeling results have special epistemic significance---related to truth, confidence, and security---and considers whether those conditions hold in the context of present-day climate modeling. The findings are disappointing. When today's climate models agree that an interesting hypothesis about future climate change is true, it cannot be inferred---via the arguments considered here anyway---that the hypothesis is likely to be true or that scientists' confidence in the hypothesis should be significantly increased or that a claim to have evidence for the hypothesis is now more secure
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Comment: available in this Blueprint