Artificial Experts:Social Knowledge and Intelligent Machines

This chapter contains sections titled: Half Title, Title, Copyright, Contents, Preface and Acknowledgment View full abstract»

In Artificial Experts, Collins explains what computers can't do, but he also studies the ordinary and extraordinary things that they can do. He argues that the machines we create are limited because we cannot reproduce in symbols what every community knows, yet we give our machines abilities by the way we embed them in our society. He unfolds a compelling account of the difference between human action and machine intelligence, the core of which is a witty and learned explanation of knowledge itself, of what communities know and the ways in which they know it. H. M. Collins is Professor of Sociology, Head of the School of Social Sciences, and Director of the Science Studies Centre at the University of Bath. View full abstract»

This chapter contains sections titled: Machines That Work, The Social Nature of Artificial Intelligence View full abstract»

This chapter contains sections titled: The Knowledge Barrier, Digitization View full abstract»

This chapter contains sections titled: Action and Behavior, Machine-like Action, What is Repetitive Action?, Past and Future, What Next? View full abstract»

This chapter contains sections titled: The Mathematical Room, Same Behavior, Many Acts, The Mathematical Room, Digitization, and Induction View full abstract»

This chapter contains sections titled: Using a Calculator, Machines, Mistakes, and Repairs, A Final Metaphor: The Dancing Machine View full abstract»

In Artificial Experts, Collins explains what computers can't do, but he also studies the ordinary and extraordinary things that they can do. He argues that the machines we create are limited because we cannot reproduce in symbols what every community knows, yet we give our machines abilities by the way we embed them in our society. He unfolds a compelling account of the difference between human action and machine intelligence, the core of which is a witty and learned explanation of knowledge itself, of what communities know and the ways in which they know it. H. M. Collins is Professor of Sociology, Head of the School of Social Sciences, and Director of the Science Studies Centre at the University of Bath. View full abstract»

This chapter contains sections titled: Expert Systems, Knowledge, Rules, and the Acquisition of Skills, Examples of Rules and Expertise View full abstract»

This chapter contains sections titled: The “Rules Model” of Culture, Ramifying Rules and Expert Systems, Stages in the Development of Expert Systems, More Rules Mean More Users View full abstract»

This chapter contains sections titled: Four Kinds of Knowledge, Examples of Knowledge and Its Transformations, TEA-Laser Expert Systems: A Thought Experiment View full abstract»

This chapter contains sections titled: Explanations in Expert Systems, Deep Knowledge, Automated Discovery View full abstract»

In Artificial Experts, Collins explains what computers can't do, but he also studies the ordinary and extraordinary things that they can do. He argues that the machines we create are limited because we cannot reproduce in symbols what every community knows, yet we give our machines abilities by the way we embed them in our society. He unfolds a compelling account of the difference between human action and machine intelligence, the core of which is a witty and learned explanation of knowledge itself, of what communities know and the ways in which they know it. H. M. Collins is Professor of Sociology, Head of the School of Social Sciences, and Director of the Science Studies Centre at the University of Bath. View full abstract»

This chapter contains sections titled: The Project, Descriptions of Crystal Growing, Knowledge Elicitation and Crystal Growing, Rules of Thumb, Problems of Knowledge Elicitation, The Expansion of Knowledge at the Workfront View full abstract»

This chapter contains sections titled: Bismuth and Arsenic: Rules and Practices, Weighing Out: Approximation and Manual Skills, Filling, Mixing, and Melting View full abstract»

This chapter contains sections titled: Bismuth-Arsenic Using Zone Melting, Cadmium-Tin-Phosphide, Conclusion to Part III View full abstract»

In Artificial Experts, Collins explains what computers can't do, but he also studies the ordinary and extraordinary things that they can do. He argues that the machines we create are limited because we cannot reproduce in symbols what every community knows, yet we give our machines abilities by the way we embed them in our society. He unfolds a compelling account of the difference between human action and machine intelligence, the core of which is a witty and learned explanation of knowledge itself, of what communities know and the ways in which they know it. H. M. Collins is Professor of Sociology, Head of the School of Social Sciences, and Director of the Science Studies Centre at the University of Bath. View full abstract»

This chapter contains sections titled: The Test in Outline, First Sociological Thoughts about the Turing Test, The Turing Test and Intelligence, Conclusion View full abstract»

This chapter contains sections titled: The Block Machine 2, Skill, the Turing Test, and Interpretative Asymmetry View full abstract»

In Artificial Experts, Collins explains what computers can't do, but he also studies the ordinary and extraordinary things that they can do. He argues that the machines we create are limited because we cannot reproduce in symbols what every community knows, yet we give our machines abilities by the way we embed them in our society. He unfolds a compelling account of the difference between human action and machine intelligence, the core of which is a witty and learned explanation of knowledge itself, of what communities know and the ways in which they know it. H. M. Collins is Professor of Sociology, Head of the School of Social Sciences, and Director of the Science Studies Centre at the University of Bath. View full abstract»

This chapter contains sections titled: Skill, Talk, and the Theory of Machine-like Action, Knowledge and Practice, Deskilling?, Turing's Sociological Prediction View full abstract»

In Artificial Experts, Collins explains what computers can't do, but he also studies the ordinary and extraordinary things that they can do. He argues that the machines we create are limited because we cannot reproduce in symbols what every community knows, yet we give our machines abilities by the way we embed them in our society. He unfolds a compelling account of the difference between human action and machine intelligence, the core of which is a witty and learned explanation of knowledge itself, of what communities know and the ways in which they know it. H. M. Collins is Professor of Sociology, Head of the School of Social Sciences, and Director of the Science Studies Centre at the University of Bath. View full abstract»

In Artificial Experts, Collins explains what computers can't do, but he also studies the ordinary and extraordinary things that they can do. He argues that the machines we create are limited because we cannot reproduce in symbols what every community knows, yet we give our machines abilities by the way we embed them in our society. He unfolds a compelling account of the difference between human action and machine intelligence, the core of which is a witty and learned explanation of knowledge itself, of what communities know and the ways in which they know it. H. M. Collins is Professor of Sociology, Head of the School of Social Sciences, and Director of the Science Studies Centre at the University of Bath. View full abstract»

In Artificial Experts, Collins explains what computers can't do, but he also studies the ordinary and extraordinary things that they can do. He argues that the machines we create are limited because we cannot reproduce in symbols what every community knows, yet we give our machines abilities by the way we embed them in our society. He unfolds a compelling account of the difference between human action and machine intelligence, the core of which is a witty and learned explanation of knowledge itself, of what communities know and the ways in which they know it. H. M. Collins is Professor of Sociology, Head of the School of Social Sciences, and Director of the Science Studies Centre at the University of Bath. View full abstract»