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The principle that the 'just noticeable difference' between two stimuli is a constant proportion of the original stimulus intensity.
Ex: a person is much more likely to react to a quiet commercial that suddenly doubles in volume than a commercial that only slightly increases in volume
Cognitive mechanism allowing rapid perception of the number of objects in a small set.
Ex: a standard dice, you can instantly recognize the number of dots displayed without counting them one by one
The theoretical concept that there can be no definitive algorithm to determine if a cognitive process will reach a conclusion. (unsolvable problem that asks if a program will terminate or run forever when given an input)
Ex: {i | program i eventually halts when run with input 0} {i | there is an input x such that program i eventually halts when run with input x}
A theoretical model of the mind operating on information without conscious awareness.
Ex: washing machines, vending machines
states that any problem that can be solved by a step by step procedure (algorithm) can also be solved by a turing machine (any calculation a human can perform with a defined method can be done by a computer)
Challenge in AI that occurs when an action changes its environment
Ex: If a robot id given the task of picking up a brick, but the brick is knocked over, how can the robot fix the problem?
A thought experiment demonstrating that simply processing symbols does not equate to genuine understanding. (Just because you translate something doesn’t mean you understand it)
Challenge of explaining how simple neural mechanisms underlie complex cognitive abilities.
Ex: trying to understand how a seemingly simple action like “making a decision” arises from the intricate interactions of millions of neurons in the brain