Chapter 1 Flashcards

1
Q

Formal Games

A
  • using chess as an example
  • illustrates 2 properties of any infomation processor: a data structure - which is a memory for storing different types of symbols a
  • rules or operations - used to manipulate the symbols in the data structure
  • control - information processor to apply its rule in a particular order to accomplish
  • structure, process, control
  • information processing is rule-governed symbol manipulation, it is like playing a formal game
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2
Q

Form and Function

A
  • chess piece illustrate a many-to-one relationship
  • different things all belong to the same type
  • idea of functionalism
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3
Q

The Formalist’s Motto

A
  • manipulate representations - symbols with meanings, symbols referring to things in the world
  • formal games are analogous to a syntax
  • semantics - describe a sentence’s meaning ; when a symbol represents meaning by referring to something in the world, we call the symbol intentional
  • Franz Brentano - itentionality to dinguish the physical from the mental; separating syntax from semantics
  • Noam Chomsky example “Colorless green ideas sleep furiously” - meaningless setneces can still be grammatical
  • ex. mathematical symbols represent meanings, symbols to represent real-world properties ( mathematical operations perserve meanings)
  • formal operation preserves meanings, even though it does not understand them
  • Philosopher John Haugeland - dual properties: symbol shape or form and symbol’s meaning
  • take care of the syntax and the semantics will take care itself
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4
Q

Demonstrating the Formalist’s Motto

A
  • Alan Turning - Turning machine
  • machine head for manipulating the symbols on the ticker tape; has machine state (indicate its current physical condition) , machine table (manipulating the ticker tape’s content)
  • the machine head contains formal operations
  • the runing machine takes care of the syntax only. while the ticker tape’s semantics takes care of itself
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5
Q

A universal machine

A
  • Turing; universal turing machine - pretending to be any other turning machine
  • ticker tape holds diff info; writes the to-be-answered question; universal machine pretneds to be; temporary memory (scratchpad)
  • it can answer any question that a modern computer can answer
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6
Q

Why is the turing machine important?

A
  • it provided the essential foundation for modern computers: structure; process; control
  • modern computers cannot answer any question that they are not mre powerful
  • cognition can be described with universal turing machien
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7
Q

The Modern Computer

A
  • idea that machines cnould achieve human-like intelligence
  • Arthur Samuel developed the first checkers program
  • computers also produced intelligent behaviour outside the realm of games
  • formal manipulation of symbols permits machines to behave intelligently = symbol manipulation also underlies human intelligence
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8
Q

Explaing how computers process information

A
  • computational level of anaylsis - “what info processing problem is the computer solving?”
  • algorithmic level of analysis - sequence of operations for accomplishing a task, explains its behaviour by describing the program being executed
  • architectural level of analysis - properties built into a computer to process info; primitive functions
  • implementational level of anaysis - “how do physical mechanisms produce the primitive operations used to manipulate symbols?”
  • pblm being solved, algorithm is being used, which basic opertions make up the algorithm and which physical mechanisms being primitive operations to life
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9
Q

A hierarchy of Levels

A
  • different algorithms can solve the same problem: idea of many-to-one relationship
  • one architecture can be implemented by many different physical implementations, many different architectures can be used to program one algorithm, and many differnent algorithms can carry out the same computation
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10
Q

Explaining Human Cognition

A
  • explained through computers
  • rule-governed manipulation
  • formalists motto - take care syntax and semantics will take of itself
  • structure, processing and control
  • computational, algorithmic, architectural and implementational
  • black box
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