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: Reasoning Robots
    sub title: The Art and Science of Programming Robotic Agents
  name:
    name part: Thielscher, Michael.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 328 p. online resource.
  abstract: The book provides an in-depth and uniform treatment of a mathematical model for reasoning robotic agents. The book also contains an introduction to a programming method and system based on this model. The mathematical model, known as the "Fluent Calculus,'' describes how to use classical first-order logic to set up symbolic models of dynamic worlds and to represent knowledge of actions and their effects. Robotic agents use this knowledge and their reasoning facilities to make decisions when following high-level, long-term strategies. The book covers the issues of reasoning about sensor input, acting under incomplete knowledge and uncertainty, planning, intelligent troubleshooting, and many other topics. The mathematical model is supplemented by a programming method which allows readers to design their own reasoning robotic agents. The usage of this method, called "FLUX,'' is illustrated by many example programs. The book includes the details of an implementation of FLUX using the standard programming language PROLOG, which allows readers to re-implement or to modify and extend the generic system. The design of autonomous agents, including robots, is one of the most exciting and challenging goals of Artificial Intelligence. Reasoning robotic agents constitute a link between knowledge representation and reasoning on the one hand, and agent programming and robot control on the other. The book provides a uniform mathematical model for the problem-driven, top-down design of rational agents, which use reasoning for decision making, planning, and troubleshooting. The implementation of the mathematical model by a general PROLOG program allows readers to practice the design of reasoning robotic agents. Since all implementation details are given, the generic system can be easily modified and extended.
  table of contents: Special Fluent Calculus -- Special FLUX -- General Fluent Calculus -- General FLUX -- Knowledge Programming -- Planning -- Nondeterminism -- Imprecision* -- Indirect Effects: Ramification Problem* -- Troubleshooting: Qualification Problem -- Robotics.
  note: by Michael Thielscher.
  subject:
    topic: Philosophy
  subject:
    topic: Computer programming
  subject:
    topic: Artificial intelligence
  subject:
    topic: Philosophy
  subject:
    topic: Philosophy of Technology
  subject:
    topic: Programming Techniques
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: B53
  classification: 601
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Applied Logic Series, 33
  identifier: 9781402030697
  identifier: http://dx.doi.org/10.1007/1-4020-3069-X
  record info:
    record creation date: 100301
    record change date: 20151204145111.0
    record identifier: 978-1-4020-3069-7