Connectionist Models Flashcards
What is computational cognitive models used for?
Can be used to gain insights, build hypotheses and make predictions
Models may be viewed as a theory of phenomenon it describes
Cognitive models can be built at different levels of abstraction. Name these levels (BFAFN)
Behaviour
Functional description of cognitive modules
Algorithmic account of representations, mechanisms and processes
Functional description of neural networks
Neurochemical description of neural networks
What is the rationale behind connectionism?
Since human brains are composed of neutron the functional properties of these systems should influence our theories of cognition
Which model is thought to replace the classical computational theory of mind?
Connectionism (ANNs)
What does the degree of activation represent
It describes how active a particular neuron is at each point in time (usually between 0-1)
Neutrons feed their activation into other neuron? True or false
True
How do you compute activation of neurons?
By looking at the amount of activation fed into it
What are the two types of connections between neurons?
Excitatory +
Inhibitory -
What is the activation rule based on?
Input activations
Name an activation function
Sigma
What are neurons typically arranged into (ANN)
Input, hidden and output layers
What is the output layer
Output layer has the vector corresponding to each possible probability of words
How can weights be learned? (ANN)
Specify training data
Choose Error criterion
Apply backpropagation algorithm
What must you apply backpropagation algorithm?
To compute weights that minimise error
What do you weights and patterns of connectivity represent ?
Long term Knowledge
