learning_theories:connectionism
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learning_theories:connectionism [2011/06/29 15:47] jpetrovic [What is connectionism?] |
learning_theories:connectionism [2011/06/29 15:57] jpetrovic [What is connectionism?] |
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| ===== What is connectionism? ===== | ===== What is connectionism? ===== | ||
| - | Connectionism was then **based on principles of associationism** which claimed that(([[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.86.7504&rep=rep1&type=pdf|Medler, David A. A Brief History of Connectionism. Neural Computing Surveys, 1(2), p18-72. 1998.]]))(([[http://books.google.hr/books?id=wFqlQgAACAAJ&dq=Connectionism+and+the+Mind:+An+Introduction+to+Parallel+Processing+in+Networks&hl=hr&ei=kKdrTdv3C5Sq8QPzs8W_BQ&sa=X&oi=book_result&ct=result&resnum=1&ved=0CCcQ6AEwAA|W. Bechtel and Abrahamsen, A. Connectionism and the Mind: An Introduction to Parallel Processing in Networks. Blackwell, Cambridge, MA, 1991.]])): | + | Connectionism was based on [[chunks:principles of associationism]], but it expanded these assumptions by introducing ideas like [[:glossary#distributed_representations|distributed representations]] and supervised learning(([[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.86.7504&rep=rep1&type=pdf|Medler, David A. A Brief History of Connectionism. Neural Computing Surveys, 1(2), p18-72. 1998.]])) and should not be confused with associationism. |
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| - | * //Mental elements or ideas become associated with one another through experience// | + | |
| - | * //Experience consists of such things as spatial and temporal contiguity and (dis)similarity of ideas// | + | |
| - | * //Complex ideas are composed and can be reduced to a set of simple ideas// | + | |
| - | * //Simple ideas are sensations// | + | |
| - | * //Simple additive rules are sufficient to predict complex ideas// | + | |
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| - | But connectionism further expanded these assumptions by introducing ideas like [[:glossary#distributed_representations|distributed representations]] and supervised learning(([[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.86.7504&rep=rep1&type=pdf|Medler, David A. A Brief History of Connectionism. Neural Computing Surveys, 1(2), p18-72. 1998.]])) and should not be confused with associationism. | + | |
| Thorndike is the most commonly cited connectionist. Central to his ideas on learning were three laws of learning, which should have accounted for both human and animal learning:(([[http://userwww.sfsu.edu/~foreman/itec800/finalprojects/annie/thorndike%27slaw.html|Foreman, Kim. Learning Laws of Thorndike - brief overview.]] Retrieved June 24, 2011.)) | Thorndike is the most commonly cited connectionist. Central to his ideas on learning were three laws of learning, which should have accounted for both human and animal learning:(([[http://userwww.sfsu.edu/~foreman/itec800/finalprojects/annie/thorndike%27slaw.html|Foreman, Kim. Learning Laws of Thorndike - brief overview.]] Retrieved June 24, 2011.)) | ||
learning_theories/connectionism.txt · Last modified: 2023/06/19 18:03 (external edit)
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