Anderson and Piccinini offer the most systematic, rigorous, and comprehensive account of computational implementation to date. Their robust mapping account holds that the key for establishing that a computation is physically implemented is that the physical states bear neither more nor less information than the computational states they map onto.
Anderson and Piccinini offer the most systematic, rigorous, and comprehensive account of computational implementation to date. Their robust mapping account holds that the key for establishing that a computation is physically implemented is that the physical states bear neither more nor less information than the computational states they map onto.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Neal G. Anderson is Professor of Electrical and Computer Engineering at the University of Massachusetts Amherst, where his research and teaching has emphasized various aspects of physical electronics. His current research focuses are the physical dimensions of information and computation, their physical-information-theoretic description, and their implications for our fundamental understanding of information processing and for future information technologies. Gualtiero Piccinini is Curators' Distinguished Professor of Philosophy and Associate Director of the Center for Neurodynamics at the University of Missouri--St. Louis. In 2014, he received the Herbert A. Simon Award from the International Association for Computing and Philosophy. In 2018, he received the K. Jon Barwise Prize from the American Philosophical Association. In 2019, he received the Chancellor's Award for Research and Creativity from University of Missouri - St. Louis. His publications include Physical Computation: A Mechanistic Account (OUP 2015), Neurocognitive Mechanisms: Explaining Biological Cognition (OUP 2020), and The Computational Theory of Mind (with Matteo Colombo, 2023).
Inhaltsangabe
Introduction 1: Physical Computation: A Philosophical Primer 2: Physical and Computational Description 3: Computational Description of Physical Systems 4: Descriptive Strength and the Adequacy of Implementation Claims 5: The Robust Mapping Account of Implementation 6: Unlimited Pancomputationalism 7: Limited Pancomputationalism 8: Ontic Pancomputationalism 9: Computation and the Mind 10: Conclusion: The Physical Signature of Computation Appendix A: Satisfaction of Criterion PCE Appendix B: Selected Results from Physical Information Theory
Introduction 1: Physical Computation: A Philosophical Primer 2: Physical and Computational Description 3: Computational Description of Physical Systems 4: Descriptive Strength and the Adequacy of Implementation Claims 5: The Robust Mapping Account of Implementation 6: Unlimited Pancomputationalism 7: Limited Pancomputationalism 8: Ontic Pancomputationalism 9: Computation and the Mind 10: Conclusion: The Physical Signature of Computation Appendix A: Satisfaction of Criterion PCE Appendix B: Selected Results from Physical Information Theory
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