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{ "item_title" : "Confirmation Learning Theory", "item_author" : [" Raymond E. Hartley", "Carl D. Williams "], "item_description" : "This work presents a cognitive and deterministic theory of learning and a related theory of performance. The authors assume that the organism is a logical system whose behavior is governed by its anticipation of the future, that this anticipation, called theexpectancy,is the basic learning event, that the expectancy arises within a quasi-linguistic representational system, that the organism's confidence in the expectancy changes during learning, and that the strength of the expectancy in real organisms is subjective probability. Carnap's lambda-system of inductive logic is used as an approximation of subjective probability. Formulas from this framework are applied to conditioning, partial reinforcement, and other experimental data.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/82/040/713/0820407135_b.jpg", "price_data" : { "retail_price" : "65.95", "online_price" : "65.95", "our_price" : "65.95", "club_price" : "65.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Confirmation Learning Theory|Raymond E. Hartley

Confirmation Learning Theory

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Overview

This work presents a cognitive and deterministic theory of learning and a related theory of performance. The authors assume that the organism is a logical system whose behavior is governed by its anticipation of the future, that this anticipation, called the expectancy, is the basic learning event, that the expectancy arises within a quasi-linguistic representational system, that the organism's confidence in the expectancy changes during learning, and that the strength of the expectancy in real organisms is subjective probability. Carnap's lambda-system of inductive logic is used as an approximation of subjective probability. Formulas from this framework are applied to conditioning, partial reinforcement, and other experimental data.

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Details

  • ISBN-13: 9780820407135
  • ISBN-10: 0820407135
  • Publisher: Peter Lang Inc., International Academic Publi
  • Publish Date: December 1988
  • Page Count: 419

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