Thinking Machines and the Philosophy of Computer Science: Concepts and Principles (Premier Reference Source) - Image 1

Price loading...

Information Science Reference Thinking Machines and the Philosophy of Computer Science: Concepts and Principles (Premier Reference Source)

Name: Thinking Machines and the Philosophy of Computer Science: Concepts and Principles (Premier Reference Source)
Brand: Information Science Reference

Project Management

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

This discipline of philosophy and computer science offers an interdisciplinary exchange of ideas that range from philosophical and mathematical logic to epistemology, engineering, ethics or neuroscience. Thinking Machines and the Philosophy of Computer Science: Concepts and Principles presents a conversation between established experts and new researchers in the field of philosophy and computer science about human and non-human relationships with the environment. This resource contains five sections including topics on philosophical analysis, the posterior ethical debate, the nature of computer simulations, and the crossroads between robotics, AI, cognitive theories and philosophy.

Product Specifications

Brand: Information Science Reference
Format: hardcover
ASIN: 1616920149
Category: Books > Subjects > Business, Finance & Law > Management > Project Management
Domain: Amazon UK
Release Date: 30 June 2010
Listed Since: 04 January 2010

Barcode

No barcode data available

Information Science Reference Thinking Machines and the Philosophy of Computer Science: Concepts and Principles (Premier Reference Source)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Minds and Computers: An Introduction to the Philosophy of Artificial Intelligence

Philosophy and Computing: Essays in Epistemology, Philosophy of Mind, Logic, and Ethics: 128 (Philosophical Studies Series, 128)

On the Cognitive, Ethical, and Scientific Dimensions of Artificial Intelligence: Themes from IACAP 2016: 134 (Philosophical Studies Series, 134)

Affective Computing and Interaction: Psychological, Cognitive and Neuroscientific Perspectives

Rethinking Machine Ethics in the Age of Ubiquitous Technology (Advances in Human and Social Aspects of Technology)

Advances in Abstract Intelligence and Soft Computing (Premier Reference Source)

Springer Computational Artifacts - Philosophy of Computer Science

Representation and Reality in Humans, Other Living Organisms and Intelligent Machines: 28 (Studies in Applied Philosophy, Epistemology and Rational Ethics, 28)

Artificial Intelligence and Cognitive Science: Conceptual Issues

Programming Machine Ethics: 26 (Studies in Applied Philosophy, Epistemology and Rational Ethics, 26)

Programming Machine Ethics: 26 (Studies in Applied Philosophy, Epistemology and Rational Ethics, 26)

Emotional Machines: Perspectives from Affective Computing and Emotional Human-Machine Interaction (Technikzukünfte, Wissenschaft und Gesellschaft / Futures of Technology, Science and Society)

Simulating Science: Computer Simulations as Scientific Instruments: 479 (Synthese Library, 479)

Philosophical Issues of Human Cyborgization and the Necessity of Prolegomena on Cyborg Ethics

Machine Ethics

Philosophy, Computing and Information Science (History and Philosophy of Technoscience)

Philosophy And The Computer

Philosophy of Information: 08 (Handbook of the Philosophy of Science)

Routledge Philosophy and Computing: An Introduction Book

Machine Intelligence: Perspectives on the Computational Model (Artificial Intelligence Series)

Machine Law, Ethics, and Morality in the Age of Artificial Intelligence

Simulating Science: Computer Simulations as Scientific Instruments: 479 (Synthese Library, 479)

Computational Approaches To Conscious Artificial Intelligence: 5 (Series On Machine Consciousness)

Philosophical Frameworks for Understanding Information Systems