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Computer Science - Artificial Intelligence | Handbook of Human Computation

Handbook of Human Computation

Michelucci, Pietro (Ed.)

2013, XLI, 1059 p. 251 illus., 209 illus. in color.

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  • Provides a comprehensive, current, and interdisciplinary treatment of the field of Human Computation
  • Gathers into one volume contributions from leading scientists, visionaries, authors, and practitioners
  • Divided into nine comprehensive sections for easy reference
  • Enriches understanding of the field through historical and visionary chapters that transcend the technical scope of competitive literature

This volume addresses the emerging area of human computation. The chapters, written by leading international researchers, explore existing and future opportunities to combine the respective strengths of both humans and machines in order to create powerful problem-solving capabilities. The book bridges scientific communities, capturing and integrating the unique perspective and achievements of each. It coalesces contributions from experts in diverse areas, including a foreword by celebrated cultural anthropologist Mary Catherine Bateson, to reveal that human computation encompasses disciplines from crisis management to digital curation to scientific and market research. The book combines industry perspectives with related disciplines in order to motivate, define, and anticipate the future of this exciting new frontier in science and cultural evolution.

 The comprehensive, current, and interdisciplinary treatment transcends the technical scope of previous studies on the topic. Readers will discover valuable contributions covering Foundations; Application Domains; Techniques and Modalities; Infrastructure and Architecture; Algorithms; Participation; Analysis; Policy and Security and the Impact of Human Computation. Researchers and professionals will find the Handbook of Human Computation a valuable reference tool. The breadth of content also provides a thorough foundation for students of the field.

Content Level » Research

Keywords » Artificial Intelligence - Citizen Science - Collaboration - Collaborative Problem Solving - Collective Intelligence - Complexity Theory - Crowdsourcing - Cultural Anthropology - Cybernetics - Distributed Problem Solving - Distributed Thinking - Emergent Behavior - Human Computation - Human-Computer Interaction - Multi-Agent Systems - Natural Computation - Organismic Computing - Organizational Studies - Self-Organization - Social Computing - Social Network Analysis - Superorganisms - Swarm Intelligence - Systems Theory - Wisdom of the Crowds

Related subjects » Artificial Intelligence - Database Management & Information Retrieval - HCI - Information Systems and Applications - Theoretical Computer Science

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