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--- learning_theories:connectionism [2011/02/28 11:25]
jpetrovic [Read more]
+++ learning_theories:connectionism [2011/02/28 13:08]
jpetrovic [What is connectionism?]
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   * Simple additive rules are sufficient to predict complex ideas
-But connectionism **expands** this **ideas of associationism** by introducing distributed representations or 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. Although he is considered one of the first true connectionist, Edward Thorndike also made the move towards behaviorist ideas.
+But connectionism **expands** this **ideas of associationism** by introducing ideas like [[:glossary#distributed_representations|distributed representations]] or 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. Although he is considered one of the first true connectionist, Edward Thorndike also made the move towards behaviorist ideas.
 [[http://historyofpsych.blogspot.com/2010/01/american-behaviorism.html|{{  images:thorndikes_cat.jpg|Thorndike's cat experiment. Image borrowed from: History of Psychology: American Behaviorism. Click on the picture to follow the link.  }}]]
-At the very end of 19th century Thorndike performed experiments first on chickens and later on cats and dogs. In one experiment he placed a hungry cat inside a //puzzle box//, which had a mechanism that would open the doors of the box every time a string would be pulled or a button pushed. Behavior which resulted in opening the doors was slowly increased as the cat after each successful attempt to open the door needed a bit less time to repeat the same action after being put back into the box. Based on this experiment Thorndike concluded that learning is **incremental** and **not insightful**, since it occurred only through //trial and error// forming of associations between situation and response, where correct response was achieved through repetition of trial and error. Established connections or knowledge, according to Thorndike also cause and determine intelligence.
+At the very end of 19th century Thorndike performed experiments first on chickens and later on cats and dogs. In one experiment he placed a hungry cat inside a //puzzle box//, which had a mechanism that would open the doors of the box every time a string would be pulled or a button pushed. Behavior which resulted in opening the doors was slowly increased as the cat after each successful attempt to open the door needed a bit less time to repeat the same action after being put back into the box. Based on this experiment Thorndike concluded that learning is **incremental** and **not [[:glossary#insightful_learning|insightful]]**, since the learning of the correct response occurred only through repetition //trial and error// forming of associations between situation and response. Established connections or knowledge, according to Thorndike also cause and determine intelligence.
 To explain observed properties of learning, Thorndike introduced three laws of learning. The first law is the **//law of exercise or use or frequency//**, which states that **stimulus-response** (S-R) **associations** are **strengthened through repetition** or weakened through lack of repetition. His second law, **//law of effect//**, states that the consequence or **outcome** of a situation-response event **can strengthen or weaken** the **connection** between situation and response. If an event is followed by a reinforcing stimulus, the connection will be strengthened and vice versa. The third law, **//law of readiness//**, which claims learning is facilitated by learner's readiness (emotional and motivational) to learn. This potential to learn leads to frustration if not satisfied.
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 ===== What is the practical meaning of connectivism? =====
-Connectionism was at its time considered a general theory of learning for both humans and animals. Thorndike's ideas which could well be applied for learning are the idea that rewards promote learning and that repetition enhances learning. For example, learning to multiply by three should be learned in context of converting feet to yards.
+Connectionism was at its time considered a general theory of learning for both humans and animals. Thorndike's ideas which could well be applied for learning are the idea that rewards promote learning and that repetition enhances learning. An example of Thorndike's meaningful learning is learning to multiply by three should be learned in context of converting feet to yards.
-Thorndike tried to apply this to learning **mathematics**((Thorndike, E. The Psychology of Arithmetic. New York: Macmillan. 1922.)), **spelling and reading** ((Thorndike, E. The Teacher's Word Book. New York: Teachers College. 1921.)), measurement of **intelligence** ((Thorndike, E. at al. The Measurement of Intelligence. New York: Teachers College Press. 1927.)) and adult learning ((Thorndike, E. et al. Adult Learning. New York: Macmillan. 1928. )) mostly through his laws of learning. Thorndike was one of the pioneers of **active learning**, proposing children should learn by themselves rather than being taught.
+Thorndike tried to apply this to learning **mathematics**((Thorndike, E. The Psychology of Arithmetic. New York: Macmillan. 1922.)), **spelling and reading** ((Thorndike, E. The Teacher's Word Book. New York: Teachers College. 1921.)), measurement of **intelligence** ((Thorndike, E. at al. The Measurement of Intelligence. New York: Teachers College Press. 1927.)) and adult learning ((Thorndike, E. et al. Adult Learning. New York: Macmillan. 1928. )) mostly through his laws of learning. He was one of the pioneers of **active learning**, proposing children should learn by themselves rather than being thought.
 ===== Keywords and most important names =====

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