Church-Turing Thesis - ANSWER- Any computation that a human could carry out with pencil
and paper can also be done by a Turing machine
Classical Computation Theory of Mind (CCTM) - ANSWER- The mind is a computational
system, with core mental processes that use algorithms and representations simi...
Church-Turing Thesis - ANSWER- Any computation that a human could carry out with pencil
and paper can also be done by a Turing machine
Classical Computation Theory of Mind (CCTM) - ANSWER- The mind is a computational
system, with core mental processes that use algorithms and representations similar to a Turing
machine
IS a computer, not LIKE a computer
**Opposition to dualism
René Descartes' Dualism - ANSWER- matter and mind are two distinct kinds of substances
Alternatives to CCTM - ANSWER- Must mental representations be symbolic?
Connectionism rejects CCTM
NAND - ANSWER- the basic logical operation performed by the solid-state transistors
("NAND gates") that
underlie virtually all integrated circuits and modern computers
•This "NAND" operation is universal
, -We can build any logical operation out of it
- Therefore we can implement any logical function in neurons
- Therefore we can implement a Turing machine in neurons
Declarative memory - ANSWER- 3+3→6, 3+4→7
Procedural memory - ANSWER- If: Observe X+Y, Then: Attempt to activate a fact matching
X+Y→Z. If:
Goal = adding a column with X and Y and fact with →Z is active, Then: Write one's place of Z.
Activate carry goal if Z>9
Classical Computer (Elements and Advantage) - ANSWER- Algorithms
(/functions/rules/programs)
Representations (/values/steps)
Example: Chess
Key Advantage w Classical Computers: We understand what they are doing
Neural Networks (Elements, Advantages and Disadvantage) - ANSWER- Input and Output
Layers sandwiching hidden layers of nodes:
consisting of layers of nodes (neurons) connected by weighted edges, where each node performs
a computation on inputs and passes the result to the next layer
Can be trained, fast improvement, vastly improving accuracy
Key Disadvantage w Artificial Neural Networks: can be trained but we don't understand
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