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: Artificial Intelligence and Economic Theory: Skynet in the Market
  name:
    name part: Marwala, Tshilidzi.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Hurwitz, Evan.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 204 p. 67 illus. online resource.
  abstract: This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.
  table of contents: Introduction to Man and Machines -- Supply and Demand -- Rational Choice and Rational Expectations -- Bounded Rationality -- Behavioral Economics -- Information Asymmetry -- Game Theory -- Pricing -- Efficient Market Hypothesis -- Mechanism Design -- Portfolio Theory -- Counterfactuals -- Financial Engineering -- Causality -- Future Work -- Appendices -- Index.
  note: by Tshilidzi Marwala, Evan Hurwitz.
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Artificial intelligence
  subject:
    topic: Economic theory
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Models and Principles
  subject:
    topic: Economic Theory/Quantitative Economics/Mathematical Methods
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advanced Information and Knowledge Processing
  identifier: 9783319661049
  identifier: http://dx.doi.org/10.1007/978-3-319-66104-9
  record info:
    record creation date: 170918
    record change date: 20170918124020.0
    record identifier: 978-3-319-66104-9