PPT-The logic of language games and other practices

Jörg Zeller Aalborg Universitet zellerlearningaaudk zeller logic of practice 1 The middle between sentence and reality zeller logic of practice 2 In PI 94 Wittgenstein says The sentence a curious thing In it lies already the sublimation of the whole representation The tendency to assume a pure medium . Please do not alter or modify contents All rights reserved For more information call 8003384065 or visit wwwloveandlogiccom Love and Logic Institute Inc is located at 2207 Jackson Street Golden CO 80401 57513 1998 Jim Fay 57375e Delayed or Anticipat Allow for fractions partial data imprecise data Fuzzify the data you have How red is this 1 RGB value 150255 What Is a Fuzzy Controller What Is a Fuzzy Controller Simply put it is fuzzy code designed to control something usually mechanical They ca Jason Fuller. 1. What is Game AI?. Imitate intelligence in the actions of non-player characters (NPCs).. Make the game “feel” real.. Obey laws of the game. Show decision making . and planning. 2. Grigore. . Rosu. and Andrei Stefanescu. University of Illinois, USA. Matching Logic . Reachability. - Goal -. Language independent program verification framework. Derives program properties based on the operational semantics of a language. Dr. Jey Veerasamy. jeyv@utdallas.edu. July 31. st. – August 23. rd. 9:30 am to 12 noon. 1. Memory game. 2. Minesweeper. 3. C. onnect4. 4. Deal or no deal. 5. Bouncing ball. 6. Sudoku. 7. t. o Programming Language Semantics,. to Program Verification. Grigore . Rosu. University of Illinois at Urbana-Champaign, USA. 1. How it all started. 1996: Started PhD with Joseph . Goguen. Discovered Maude as “fast OBJ”, then rewriting logic. Tony Hoare. Lausanne 20 June 2011. Historical Survey. Discovery. deductive logic. constructive logic. temporal . logic. algebraic logic. Application Attribution. philosophy . Aristotle. geometry . Grigore Rosu. University of Illinois at Urbana-Champaign, USA. Runtime Verification, Inc.. 1. 12 October 2017, LOPSTR’17. Ideal Language Framework Vision. Deductive program verifier. Parser. Interpreter. We already know that the language of the machine is . binary. – that is, sequences of 1’s and 0’s. But why is this? . At the hardware level, computers are streams of signals. These signals only have two states of interest, high voltage and low voltage. . Learning Objectives. Know the three basic logic gate operators . Work out the output of given inputs using a truth table. All the instructions and data inside a computer are stored using binary. . Computer memory uses many small transistors and capacitors to store data. . Epistemic Model. ). We introduce epistemic models. Epistemic relations . Epistemic relations are equivalence relations . This function assigns sets of states to formulas. The language of Epistemic Logic. Learn what a logic gate is and what they are for.. Be able to identify common logic gates.. Understand how truth tables work.. What is a logic gate?. Logic gates are part of the circuits inside your computer. They can take several INPUTS. . Games and adversarial s earch Why study games? Games can be a good model of many competitive activities Military confrontations, negotiation, auctions, … Games are a traditional hallmark of intelligence Logic Gates. NOT (Inverter) Gate. AND Gate. OR Gate. NAND Gate. NOR Gate. XOR Gate. Digital Signals. Digital signals 0 (false) or 1 (true). Digital signal 1 is represented by a small voltage.. Digital signal 0 is represented by no voltage..