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Computers and Thought: A Practical Introduction to AI

Computers and Thought: A Practical Introduction to Artificial Intelligence explores the foundational question of whether machines can think. Edited by Mike Sharples and others, it provides insights into AI's evolution and its impact on society.

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Computers and Thought: A Practical Introduction to Artificial Intelligence is a comprehensive book that delves into the fundamental question of whether machines can think. Edited by Mike Sharples, David Hogg, Chris Hutchison, Steve Torrance, and David Young, the book offers a practical introduction to the field of artificial intelligence. It examines the historical context and the evolution of AI, providing readers with a deep understanding of how AI has developed over the years.

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The book addresses the original question posed by AI pioneers: 'Can machines think?' While some may consider this question too abstract, the editors argue that the perception of machines and their capabilities has shifted significantly over time. By the end of the 20th century, the use of language and general educated opinion had evolved to the point where discussing machines as thinking entities became more acceptable.

Computers and Thought is designed for readers who are interested in understanding the practical aspects of AI. It covers various topics, including the philosophical implications of AI, the technical challenges involved in creating intelligent systems, and the societal impact of AI technologies. The book is suitable for students, researchers, and anyone curious about the role of AI in modern society.

Through a series of essays and discussions, the book provides a balanced view of AI, highlighting both its potential benefits and the ethical considerations it raises. It encourages readers to think critically about the future of AI and its implications for humanity. Overall, Computers and Thought serves as an essential resource for those seeking to explore the complexities of artificial intelligence.

  • CategoryEducation & Research

  • Explores the question 'Can machines think?'

  • Edited by Mike Sharples and others

  • Covers historical context of AI

  • Discusses philosophical implications

  • Addresses technical challenges

  • Examines societal impact

  • Suitable for students and researchers

  • Encourages critical thinking about AI

  • AI Education
  • Philosophical Inquiry
  • Technical Challenges
  • Ethical Considerations
  • Research Reference

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