rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Believable Bots
    sub title: Can Computers Play Like People?
  name:
    name part: Hingston, Philip.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 318 p. online resource.
  abstract: We share our modern world with bots – chatbots to converse with, roombots to clean our houses, spambots to fill our e-mail inboxes, and medibots to assist our surgeons. This book is about computer game bots, virtual companions who accompany us in virtual worlds or sharpen our fighting skills. These bots must be believable, that is human players should believe they are interacting with entities operating at a human level – bots are more fun if they behave like we do. This book shows how to create believable bots that play computer games, and it discusses the implications of making them appear human. The chapters in this book present the state of the art in research on and development of game bots, and they also look beyond the design aspects to address deep questions: Is a bot that plays like a person intelligent? Does it have emotions? Is it conscious? The topic is inherently interdisciplinary, and the work draws from research and practice in many fields, such as design, creativity, entertainment, and graphics; learning, psychology, and sociology; artificial intelligence, embodiment, agents, machine learning, robotics, human–computer interaction, and artificial life; cognition and neuroscience; and evolutionary computing. The contributing authors are among the leading researchers and developers in this field, and most of the examples and case studies involve analysis of commercial products. The book will be of value to graduate students and academic researchers in artificial intelligence, and to engineers charged with the design of entertaining games.
  table of contents: Chap. 1 Rethinking the Human-Agent Relationship: Which Social Cues Do Interactive Agents Really Need to Have? -- Chap. 2 Believability Through Psychosocial Behaviour: Creating Bots That Are More Engaging and Entertaining -- Chap. 3 Actor Bots -- Chap. 4 Embodied Conversational Agent Avatars in Virtual Worlds -- Chap. 5 Human-Like Combat Behaviour via Multiobjective Neuroevolution -- Chap. 6 Believable Bot Navigation via Playback of Human Traces -- Chap. 7 A Machine Consciousness Approach to the Design of Human-Like Bots -- Chap. 8 ConsScale FPS: Cognitive Integration for Improved Believability in Computer Game Bots -- Chap. 9 Assessing Believability -- Chap. 10 Making Diplomacy Bots Individual -- Chap. 11 Towards Imitation of Human Driving Style in Car Racing Games.
  note: edited by Philip Hingston.
  subject:
    topic: Computer science
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Personality
  subject:
    topic: Social psychology
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Computational Intelligence
  subject:
    topic: Personality and Social Psychology
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783642323232
  identifier: http://dx.doi.org/10.1007/978-3-642-32323-2
  record info:
    record creation date: 121026
    record change date: 20151125211346.0
    record identifier: 978-3-642-32323-2