مشخصات کتاب

Neural Machines: A Defense of Non-Representationalism in Cognitive Neuroscience

ویرایش:  
نویسندگان: Matej Kohár  
سری: Studies in Brain and Mind, 22 
ISBN (شابک) : 3031267451, 9783031267451 
ناشر: Springer 
سال نشر: 2023 
تعداد صفحات: 198
[199] 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 5 Mb 

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توجه داشته باشید کتاب ماشین‌های عصبی: دفاع از عدم بازنمایی در علوم اعصاب شناختی نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.

توضیحاتی در مورد کتاب ماشین‌های عصبی: دفاع از عدم بازنمایی در علوم اعصاب شناختی



توضیحاتی درمورد کتاب به خارجی

In this book, Matej Kohar demonstrates how the new mechanistic account of explanation can be used to support a non-representationalist view of explanations in cognitive neuroscience, and therefore can bring new conceptual tools to the non-representationalist arsenal. Kohar focuses on the explanatory relevance of representational content in constitutive mechanistic explanations typical in cognitive neuroscience. The work significantly contributes to two areas of literature: 1) the debate between representationalism and non-representationalism, and 2) the literature on mechanistic explanation. Kohar begins with an introduction to the mechanistic theory of explanation, focusing on the analysis of mechanistic constitution as the basis of explanatory relevance in constitutive mechanistic explanation. He argues that any viable analysis of representational contents implies that content is not constitutively relevant to cognitive phenomena. The author also addresses objections against his argument and concludes with an examination of the consequences of his account for both traditional cognitive neuroscience and non-representationalist alternatives. This book is of interest to readers in philosophy of mind, cognitive science and neuroscience.

فهرست مطالب

Acknowledgements
Contents
List of Acronyms
Chapter 1: Introduction
	References
Chapter 2: The New Mechanistic Theory of Explanation: A Primer
	2.1 The Concept of Mechanism: Mechanisms, Phenomena, and Constitution
	2.2 Constructing Mechanistic Models
	2.3 Mechanistic Explanation
	2.4 Conclusion
	References
Chapter 3: Mechanistic Explanatory Texts
	3.1 Craver and Kaplan´s Contrastive Account of Mechanistic Explanation
	3.2 Problems with Craver and Kaplan´s Account
	3.3 Mechanism Descriptions and Mechanistic Explanatory Texts
	3.4 Constructing Mechanistic Explanatory Texts
	3.5 Conclusion: Solving the Problems
	References
Chapter 4: Representations and Mechanisms Do Not Mix
	4.1 Representations: External and Internal
	4.2 Mental vs. Neural Representations
	4.3 Content-Determination and the Job-Description Challenge
	4.4 Why Contents Are Not Explanatorily Relevant
	References
Chapter 5: Indicator Contents
	5.1 What Is Indicator Content?
	5.2 Probabilities for Indicator Contents
	5.3 Assessing Indicator Contents Based on Frequentist Chances
	5.4 Assessing Indicator Content Based on Propensities
	5.5 Conclusion
	References
Chapter 6: Structural Contents
	6.1 Defining Structural Representation
	6.2 Mapping Relations for Structural Representation
	6.3 Structural Representation and Locality
	6.4 Structural Representations and Mutual Dependence
	6.5 Conclusion
	References
Chapter 7: Teleosemantics
	7.1 Teleosemantic Analyses of Content
	7.2 Teleosemantics with History-Dependent Functions
	7.3 Teleosemantics with Synchronic Functions
	7.4 Teleosemantics with Cybernetic Norms
	7.5 Conclusion
	References
Chapter 8: The Dual-Explananda Defence
	8.1 The General Form of the Dual-Explananda Defence
	8.2 The Fittingness Explanandum
	8.3 The Success Explanandum
	8.4 Conclusion
	References
Chapter 9: The Pragmatic Necessity Defence
	9.1 Egan´s Deflationary Realism
	9.2 Options for a Mechanistic Answer to Deflationary Realism
	9.3 Reinterpreting Mathematical Content
	9.4 Roles of the Intentional Gloss
	9.5 Rejecting Cognitive Contents
	9.6 Conclusion
	References
Chapter 10: Conclusions and Future Directions
	10.1 Consequences for Mainstream Philosophy of Cognitive Science
	10.2 Consequences for Previous Non-representational Theories
	10.3 Future Directions
	References
Index

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