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:
    non sort: The
    title: Challenge of Anticipation
    sub title: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems
  name:
    name part: Pezzulo, Giovanni.
    role:
      role term: editor.
  name:
    name part: Butz, Martin V.
    role:
      role term: editor.
  name:
    name part: Castelfranchi, Cristiano.
    role:
      role term: editor.
  name:
    name part: Falcone, Rino.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2008
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 288 p. online resource.
  abstract: This book proposes a unifying approach for the analysis and design of artificial cognitive systems: The Anticipatory Approach. In 11 coherent chapters, the authors of this State-of-the-Art Survey propose a foundational view of the importance of dealing with the future, of gaining some autonomy from current environmental data, and of endogenously generating sensorimotor and abstract representations. A meaningful taxonomy for anticipatory cognitive mechanisms is put forward, which distinguishes between the types of predictions and the different influences of these predictions on actual behavior and learning. Thus a new unifying perspective on cognitive systems is given. The Anticipatory Approach described in this book will not only aid in the analysis of cognitive systems, but will also serve as an inspiration and guideline for the progressively more advanced and competent design of large, but modular, artificial cognitive systems.
  table of contents: Theory -- Introduction: Anticipation in Natural and Artificial Cognition -- The Anticipatory Approach: Definitions and Taxonomies -- Benefits of Anticipations in Cognitive Agents -- Models, Architectures, and Applications -- Anticipation in Attention -- Anticipatory, Goal-Directed Behavior -- Anticipation and Believability -- Anticipation and Emotions for Goal Directed Agents -- A Reinforcement-Learning Model of Top-Down Attention Based on a Potential-Action Map -- Anticipation by Analogy -- Anticipation in Coordination -- Endowing Artificial Systems with Anticipatory Capabilities: Success Cases.
  note: edited by Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone.
  subject:
    topic: Computer science
  subject:
    topic: Computer programming
  subject:
    topic: Mathematical statistics
  subject:
    topic: Computers
  subject:
    topic: User interfaces (Computer systems)
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer simulation
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Programming Techniques
  subject:
    topic: Simulation and Modeling
  subject:
    topic: Models and Principles
  subject:
    topic: Probability and Statistics in Computer Science
  subject:
    topic: User Interfaces and Human Computer Interaction
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 5225
  identifier: 9783540877028
  identifier: http://dx.doi.org/10.1007/978-3-540-87702-8
  record info:
    record creation date: 100301
    record change date: 20151204191452.0
    record identifier: 978-3-540-87702-8