null
Loading... Please wait...
FREE SHIPPING on All Unbranded Items LEARN MORE
Print This Page

integrating Marker Passing and Problem Solving (A Spreading Activation Approach To Improved Choice in Planning)

List Price: $52.99
SKU:
9780898599824
Quantity:
Minimum Purchase
25 unit(s)
  • Availability: Confirm prior to ordering
  • Branding: minimum 50 pieces (add’l costs below)
  • Check Freight Rates (branded products only)

Branding Options (v), Availability & Lead Times

  • 1-Color Imprint: $2.00 ea.
  • Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
  • Belly-Band Wrap: $2.50 ea. (full-color printed)
  • Set-Up Charge: $45 per decoration
FULL DETAILS
  • Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
  • Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
  • Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
  • RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
  • Product Details

    Author:
    James A. Hendler
    Format:
    Hardcover
    Pages:
    318
    Publisher:
    Taylor & Francis (November 1, 1987)
    Language:
    English
    ISBN-13:
    9780898599824
    ISBN-10:
    0898599822
    Weight:
    24oz
    Dimensions:
    6" x 9"
    File:
    TAYLORFRANCIS-TayFran_260130053614524-20260130.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $52.99
    Series:
    Artificial Intelligence Series
    Case Pack:
    89
    As low as:
    $50.34
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Pub Discount:
    30
    Audience:
    Professional and scholarly
    Country of Origin:
    United States
    Imprint:
    Psychology Press
  • Overview

    A recent area of interest in the Artificial Intelligence community has been the application of massively parallel algorithms to enhance the choice mechanism in traditional AI problems. This volume provides a detailed description of how marker-passing -- a parallel, non-deductive, spreading activation algorithm -- is a powerful approach to refining the choice mechanisms in an AI problem-solving system.

    The author scrutinizes the design of both the algorithm and the system, and then reviews the current literature and research in planning and marker passing. Also included: a comparison of this computer model with some standard cognitive models, and a comparison of this model to the "connectionist" approach.