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In this book, the author develops a new form of structural realism and deals with the problem of representation. The work combines two distinguished developments of the Semantic View of Theories, namely Structural Realism (SR), a flourishing theory from contemporary philosophy of science, and Ronald Giere and colleagues’ Cognitive Models of Science approach (CMSA). Readers will see how replacing the model-theoretic structures that are at issue in SR with connectionist networks and activations patterns (which are the formal tools of computational neuroscience) helps us to deal with the problem of representation. The author suggests that cognitive structures are not only the precise formal tools for regimenting the structure of scientific theories but also the tools that the biological brain uses to capture the essential features (i.e., structures) of its environment. Therefore, replacing model-theoretic structures with cognitive structures allows us to account for the theories-reality relationship on the basis of the most reliable theories of neurology. This is how a new form of SR, called Cognitive Structural Realism (CSR) is introduced through this book, which articulates and defends CSR, and shows how two diverging branches of SVT can be reconciled. This ground-breaking work will particularly appeal to people who work in the philosophy of science, philosophy of mind and cognitive sciences.
This book presents a unified account of the self, based on a network of knowledge sourced from several scientific accounts of selfhood. Beni constructs his ontological account of the self from the common structure that underpins the theoretical diversity that is manifested in rival and sometimes incompatible scientific accounts of the self and its aspects. The enterprise is inspired by recent structural realist theories in the philosophy of science, specifying the basic structure of the self, and explaining how representational, phenomenal, and social aspects of the self are embodied within this structure.
Naturalistic cognitive science, when realistically rendered, rightly maintains that to think is to deploy contentful mental representations. Accordingly, conscious perception, memory, and anticipation are forms of cognition that, despite their introspectively manifest differences, may coincide in content. Sometimes we remember what we saw; other times we predict what we will see. Why, then, does what it is like consciously to perceive, differ so dramatically from what it is like merely to recall or anticipate the same? Why, if thought is just representation, does the phenomenal character of seeing a sunset differ so stunningly from the tepid character of recollecting or predicting the sun's descent? J. Christopher Maloney argues that, unlike other cognitive modes, perception is in fact immediate, direct acquaintance with the object of thought. Although all mental representations carry content, the vehicles of perceptual representation are uniquely composed of the very objects represented. To perceive the setting sun is to use the sun and its properties to cast a peculiar cognitive vehicle of demonstrative representation. This vehicle's embedded referential term is identical with, and demonstrates, the sun itself. And the vehicle's self-attributive demonstrative predicate is itself forged from a property of that same remote star. So, in this sense, the perceiving mind is an extended mind. Perception is unbrokered cognition of what is real, exactly as it really is. Maloney's theory of perception will be of great interest in the philosophy of mind and cognitive science.
Roughly, instrumentalism is the view that science is primarily, and should primarily be, an instrument for furthering our practical ends. It has fallen out of favour because historically influential variants of the view, such as logical positivism, suffered from serious defects. In this book, however, Darrell P. Rowbottom develops a new form of instrumentalism, which is more sophisticated and resilient than its predecessors. This position—‘cognitive instrumentalism’—involves three core theses. First, science makes theoretical progress primarily when it furnishes us with more predictive power or understanding concerning observable things. Second, scientific discourse concerning unobservable things should only be taken literally in so far as it involves observable properties or analogies with observable things. Third, scientific claims about unobservable things are probably neither approximately true nor liable to change in such a way as to increase in truthlikeness. There are examples from science throughout the book, and Rowbottom demonstrates at length how cognitive instrumentalism fits with the development of late nineteenth- and early twentieth-century chemistry and physics, and especially atomic theory. Drawing upon this history, Rowbottom also argues that there is a kind of understanding, empirical understanding, which we can achieve without having true, or even approximately true, representations of unobservable things. In closing the book, he sets forth his view on how the distinction between the observable and unobservable may be drawn, and compares cognitive instrumentalism with key contemporary alternatives such as structural realism, constructive empiricism, and semirealism. Overall, this book offers a strong defence of instrumentalism that will be of interest to scholars and students working on the debate about realism in philosophy of science.
What is a language? What do scientific grammars tell us about the structure of individual languages and human language in general? What kind of science is linguistics? These and other questions are the subject of Ryan M. Nefdt's Language, Science, and Structure. Linguistics presents a unique and challenging subject matter for the philosophy of science. As a special science, its formalisation and naturalisation inspired what many consider to be a scientific revolution in the study of mind and language. Yet radical internal theory change, multiple competing frameworks, and issues of modelling and realism have largely gone unaddressed in the field. Nefdt develops a structural realist perspective on the philosophy of linguistics which aims to confront the aforementioned topics in new ways while expanding the outlook toward new scientific connections and novel philosophical insights. On this view, languages are real patterns which emerge from complex biological systems. Nefdt's exploration of this novel view will be especially valuable to those working in formal and computational linguistics, cognitive science, and the philosophies of science, mathematics, and language.
Our thoughts are meaningful. We think about things in the outside world; how can that be so? This is one of the deepest questions in contemporary philosophy. Ever since the 'cognitive revolution', states with meaning-mental representations-have been the key explanatory construct of the cognitive sciences. But there is still no widely accepted theory of how mental representations get their meaning. Powerful new methods in cognitive neuroscience can now reveal information processing in the brain in unprecedented detail. They show how the brain performs complex calculations on neural representations. Drawing on this cutting-edge research, Nicholas Shea uses a series of case studies from the cognitive sciences to develop a naturalistic account of the nature of mental representation. His approach is distinctive in focusing firmly on the 'subpersonal' representations that pervade so much of cognitive science. The diversity and depth of the case studies, illustrated by numerous figures, make this book unlike any previous treatment. It is important reading for philosophers of psychology and philosophers of mind, and of considerable interest to researchers throughout the cognitive sciences.
Scientific realism is at the core of the contemporary philosophical debate on science. This book analyzes new versions of scientific realism. It makes explicit the advantages of scientific realism over alternatives and antagonists, contributes to deciding which of the new approaches better meets the descriptive and the prescriptive criteria, and expands the philosophico-methodological field to take in new topics and disciplines.
Comprising over thirty chapters by a team of international contributors the The Routledge handbook of Scientific Realism covers the following central topics: the historical development of the realist stance; core issues and positions of classic debate; perspectives on contemporary debates and the realism debate in disciplinary context.
This book draws on advances in computational neuroscience and theoretical biology to provide a clear and accessible agentive account of the nature of causality and scientific explanations. Instead of attempting to establish the elements of scientific explanation, such as causality, in a reality unadulterated by a human perspective, this book relies on scientific facts about cognition to describe the structure of agency from a distinctly human perspective. The book draws on the Free Energy Principle to reinforce the agency theory of causality and extend it to an account of explanation as well. This principle not only provides a theoretical account of how self-organising systems engage with the causal structure of the environment, but it also offers a viable notion of agency and is compatible with the projectivist aspects of the agency theory. Scientific Explanation, Causality, and Agency will appeal to researchers and advanced students working in philosophy of science, philosophy of cognitive science, epistemology, computational neuroscience, and theoretical biology.
This book uses insights from the cognitive sciences to illuminate Kafka’s poetics, exemplifying a paradigm for literary studies in which cognitive-scientific insights are brought to bear directly on literary texts. The volume shows that the concept of "cognitive realism" can be a critically productive framework for exploring how textual evocations of cognition correspond to or diverge from cognitive realities, and how this may affect real readers. In particular, it argues that Kafka’s evocations of visual perception (including narrative perspective) and emotion can be understood as fundamentally enactive, and that in this sense they are "cognitively realistic". These cognitively realistic qualities are likely to establish a compellingly direct connection with the reader’s imagination, but because they contradict folk-psychological assumptions about how our minds work, they may also leave the reader unsettled. This is the first time a fully interdisciplinary research paradigm has been used to explore a single author’s fictional works in depth, opening up avenues for future research in cognitive literary science.