Psychology - CTM models
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Symbolic models
Symbolic data structures. Have data structures and operations on them
Example of symbolic model - production system
dataset (larger(dog
Connectionist models
knowledge represented in connections of a network
Key differences between connectionist and symbolic models
how explicitly knowledge is represented. The pre-existence of primatives. Handling variables. How easy to apply to different situations. How gracefully it degrades. How interpretable computations are. How much training data is needed.
Example for connectionist vs symbolic models representing individuals
green cube red sphere
Neural networks explanation
activation is sigmoid of weight times input plus bias. Start with random weights. produce cost function. use gradient descent
Gradient descent
compute the direction in weight space which increases the cost.