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An argument for a non-Cartesian philosophical foundation for cognitive science that combines elements of Heideggerian phenomenology, a dynamical systems approach to cognition, and insights from artificial intelligence-related robotics.
An argument for a non-Cartesian philosophical foundation for cognitive science that combines elements of Heideggerian phenomenology, a dynamical systems approach to cognition, and insights from artificial intelligence-related robotics.
There is a basic perplexity in our times. On the one hand, we ?nd a blind trust in technology and rationalism. In our neo-liberalistically dominated world only what can be rapidly exploited and commercialized seems to count. The only opposing reaction to this kind of rationalism is an extreme rejection of all kinds of reasoning, and sometimes attendant religious fundamentalism. But instead of re?ecting on the limits and possibilites of reasoning, dialogue is replaced by a demagogic struggle between cultures. One cause of the blind trust in technology is misunderstandings about the sign- cance and the application of theories in the reception of the so-called Enlightenment. The Enlightenment is essentially characterized by two forces: (i) the conception of society as a social contract and (ii) the new science (New- nian physics, etc.). But as a result we lost ground: Atomistic individualism nourished the illusion of a self-contained ego prior to man’s entering into a shared inter-subjective world. And in the new science, our constructions of reality became autonomous and indep- dent of our interventions. Thus we became caught in the inherent dynamism of our computational constructions of reality. Science, as it is applied today, operates with far too simple parameters and model-theoretic constructions – erroneously taking the latter (the models) as literal descriptions of reality.
A study of the philosophical implications of evolutionary psychology, suggesting that knowledge is a set of natural kinds housed in the modules of a massively modular mind. In Reconstructing Reason and Representation, Murray Clarke offers a detailed study of the philosophical implications of evolutionary psychology. In doing so, he offers new solutions to key problems in epistemology and philosophy of mind, including misrepresentation and rationality. He proposes a naturalistic approach to reason and representation that is informed by evolutionary psychology, and, expanding on the massive modularity thesis advanced in work by Leda Cosmides and John Tooby, argues for a modular, adapticist account of misrepresentation and knowledge. Just as the reliability of representation can be defended on the basis of an account of the proper function of cognitive modularity, misrepresentation can be explained through an appeal to the "gap theory," by noting the divergence between the proper and actual domains of cognitive modules in a massively modular mind. Clarke argues for an externalist, modular reliabilism by suggesting that evolution has equipped us with generally reliable inferential systems even if they do not always produce true beliefs. He argues that reliable deductive and inductive inference occurs only when cognitive modules deal with actual domains that are sufficiently similar to their proper domains. This psychologically informed, naturalized adapticism leads to the suggestion that knowledge is a set of natural kinds housed in the modules of a massively modular mind. Typically, the proper function of these cognitive modules is to provide us with truths that enable us to satisfy our basic biological needs. Beyond reasoning modules, other cognitive modules discussed include the ability to orient ourselves in space, and our abilities with language, numbers, object reasoning, and social understanding. Clarke also defends Cosmides and Tooby's massive modularity hypothesis against such critics as Jerry Fodor by demonstrating that these critics consistently misrepresent Cosmides and Tooby's position.
Revitalising our reading of 18th century works specifically in the fields of the history of the book, literary studies, material culture, art history, philosophy, technology, science and medicine, this volume brings recent insights in cognitive science and philosophy of mind to bear on the distributed nature of cognition. Collectively, the essays show how the particular range of sociocultural and technological contexts of the time fostered and reflected particular notions of distributed cognition.
The Earth's biological, chemical, and physical systems are increasingly shaped by the activities of one species-ours. In our decisions about everything from manufacturing technologies to restaurant menus, the health of the planet has become a product of human choice. Environmentalism, however, has largely failed to adapt to this new reality. Reconstructing Earth offers seven essays that explore ways of developing a new, more sophisticated approach to the environment that replaces the fantasy of recovering pristine landscapes with a more grounded viewpoint that can foster a better relationship between humans and the planet. Braden Allenby, a lawyer with degrees in both engineering and environmental studies, explains the importance of technological choice, and how that factor is far more significant in shaping our environment (in ways both desirable and not) than environmental controls. Drawing on his varied background and experience in both academia and the corporate world, he describes the emerging field of "earth systems engineering and management," which offers an integrated approach to understanding and managing complex human/natural systems that can serve as a basis for crafting better, more lasting solutions to widespread environmental problems. Reconstructing Earth not only critiques dysfunctional elements of current environmentalism but establishes a foundation for future environmental management and progress, one built on an understanding of technological evolution and the cultural systems that support modern technologies. Taken together, the essays offer an important means of developing an environmentalism that is robust and realistic enough to address the urgent realities of our planet. Reconstructing Earth is a thought-provoking new work for anyone concerned with the past or future of environmental thought, including students and teachers of environmental studies, environmental policy, technology policy, technological evolution, or sustainability.
This collection brings together 14 essays by international specialists in Medieval and Renaissance culture to bring recent insights from cognitive science and philosophy of mind to bear on how cognition was seen as distributed across brain, body and world between the 9th and 17th centuries.
Engaging with contemporary issues responsibly and creatively can become a very abstract activity. We can sometimes find ourselves talking in terms of theories and philosophies which bear very little resemblance to how life is actually lived and experienced. In Thinking in the World, Jill Bennett and Mary Zournazi curate writings and conversations with some of the most influential thinkers in the world and ask them not just why we should engage with the world ,but also how we might do this. Rather than simply thinking about the world, the authors examine the ways in which we think in and with the world. Whether it's how to be environmentally responsible, how to think in film, or how to dance with a non-human, the need to engage meaningfully in a lived way is at the forefront of this collection. Thinking in the World showcases some of the most compelling arguments for a philosophy in action. Including wholly original, never-before-released material from Michel Serres, Alphonso Lingis, and Mieke Bal, the different chapters in this book constitute dialogues and approachable essays, as well as impassioned arguments for a particular way of approaching thinking in the world.
Brain, body, and world are united in a complex dance of circular causation and extended computational activity. In Being There, Andy Clark weaves these several threads into a pleasing whole and goes on to address foundational questions concerning the new tools and techniques needed to make sense of the emerging sciences of the embodied mind. Clark brings together ideas and techniques from robotics, neuroscience, infant psychology, and artificial intelligence. He addresses a broad range of adaptive behaviors, from cockroach locomotion to the role of linguistic artifacts in higher-level thought.
A proposal for a new way to do cognitive science argues that cognition should be described in terms of agent-environment dynamics rather than computation and representation. While philosophers of mind have been arguing over the status of mental representations in cognitive science, cognitive scientists have been quietly engaged in studying perception, action, and cognition without explaining them in terms of mental representation. In this book, Anthony Chemero describes this nonrepresentational approach (which he terms radical embodied cognitive science), puts it in historical and conceptual context, and applies it to traditional problems in the philosophy of mind. Radical embodied cognitive science is a direct descendant of the American naturalist psychology of William James and John Dewey, and follows them in viewing perception and cognition to be understandable only in terms of action in the environment. Chemero argues that cognition should be described in terms of agent-environment dynamics rather than in terms of computation and representation. After outlining this orientation to cognition, Chemero proposes a methodology: dynamical systems theory, which would explain things dynamically and without reference to representation. He also advances a background theory: Gibsonian ecological psychology, “shored up” and clarified. Chemero then looks at some traditional philosophical problems (reductionism, epistemological skepticism, metaphysical realism, consciousness) through the lens of radical embodied cognitive science and concludes that the comparative ease with which it resolves these problems, combined with its empirical promise, makes this approach to cognitive science a rewarding one. “Jerry Fodor is my favorite philosopher,” Chemero writes in his preface, adding, “I think that Jerry Fodor is wrong about nearly everything.” With this book, Chemero explains nonrepresentational, dynamical, ecological cognitive science as clearly and as rigorously as Jerry Fodor explained computational cognitive science in his classic work The Language of Thought.