Presentation on theme: "Physical Symbol System Hypothesis Gagan Deep Kaur Roll No. 07408802 Course Seminar - CS 344."— Presentation transcript:
Physical Symbol System Hypothesis Gagan Deep Kaur Roll No. 07408802 Course Seminar - CS 344
Physical Symbol System A PSS consists of - Symbols - set of entities that are physical patterns - Symbol Structures - number of instances/tokens related in some physical way - Processes – operate on these expressions to produce other expressions
S6 S5 S4 S3S2 S1 Collection of “Expressions” S12 S11S10 S9S8 S7 S18S17S16S15S14S13 S24S23S22S21S20S19 S30S29S28S27S26S25 At any given time, a PSS contains - collection of expressions - processes to operate on these expressions creation, modification, reproduction, destruction
Physical Symbol System Key Concepts Designation – the symbol/expressions can refer to something else. Interpretation – the expressions can refer to its own computational processes which the system can evoke and execute
Examples of Symbol Systems SystemSymbolExpressionsProcesses LogicAnd, Or, Not,Propositions (T/F)Rules of Inference Algebra+, -, *, /, y, z, 1, 2, 3…. Equations (2+3=5) Rules of Algebra Digital Computer0, 100000111000…..Program -----ChessChess PiecesPosition of pieces on the board Legal Chess Moves
Physical Symbol System Hypothesis - By Allen Newell and Herbert Simon “A physical symbol system has the necessary and sufficient means for general intelligent action”
Claims - Human thinking is a kind of symbol manipulation - Symbol manipulation necessary for intelligence - Machines can be intelligent, because - Symbol manipulation is sufficient for intelligence Core assumption of Strong AI
Grounds of PSS Brain similar with a physical symbol system Psychological Experiments – decision making, learning processes Running AI programs –chess, checkers, theorem proving, Clark – Productivity of Human Thoughts
Examples of PSS SystemSymbolExpressionsProcesses Digital Computer0, 100000111000…..Program -----ChessChess PiecesPosition of pieces on the board Legal Chess Moves BrainEncoded in brainThoughtsMental Operations like thinking AI ProgramData
Merits Computationally possible to encode symbolic human knowledge Opened avenue for machine intelligence!
Implications Appropriately programmed computer is capable of conscious thought Machines can be made to think and have genuine understanding Can Physical Symbol Systems Think?
Intelligence requires Understanding. Does the program understands the symbols that it uses? Does “symbols” have any meaning for the machine?
Conclusion The question thus boiled down to this: Could a system think or understand just by having right sort of program? Is syntax enough to ensure “semantics” which is necessary for understanding.
References Clark, Andy, “Philosophical Implications”, Artificial Intelligence, Ed. Margaret Boden, Academic Press, California, 1996 Dreyfus, Hubert, What Computers Can’t Do: The Limits of AI, Harper & Row, New York, 1979 Newell, Allen and Simon, Herbert, “Computer Science and Empirical Inquiry: Search and Symbols”, Mind Design II, Ed. John Hagueland, MIT Press, 1997, Searle, John, “Minds, Brains and Programs”, Minds I, Ed. Douglas Hofstadter, and Daniel Dennett, Basic Books, 2001, P. 282-306 Wikipedia, Stanford Encyclopedia Various Internet Sources For The Pictures!