'Computability theory' diaporamas de présentation

Computability Theory and Complexity Theory COT 6410

Computability Theory and Complexity Theory COT 6410. Computability Theory The study of what can/cannot be done via purely mechanical means. Complexity Theory The study of what can/cannot be done well via purely mechanical means. What is it that we are talking about?

2.97k views • 271 slides

Artificial Life

Artificial Life. Miriam Ruiz. Contents. Introduction Emergent Patterns Cellular Automata Agent-based modelling Distributed Intelligence Artificial Evolution Artificial Chemistry Examples Bibliography. What is Life?. There is no generally accepted definition of life .

1.82k views • 96 slides

Introduction to Computability Theory

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Theory of Computation

Theory of Computation. Romi Satria Wahon o romi@romisatriawahono.net http://romisatriawahono.net/tc Mobile : +6281586220090. Romi Satria Wahono. SD Sompok Semarang (1987) SMPN 8 Semarang (1990) SMA Taruna Nusantara Magelang (1993)

433 views • 40 slides

FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY

15-453. FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY. www.cs.cmu.edu/~emc/flac09. INSTRUCTORS. Edmund Clarke. Yi Wu. Will Klieber. Grading. Exams: 50% - Final Exam: 25% - Midterm Exam: 25% Homework: 45% Class Participation: 5% Attendance is required. HOMEWORK.

495 views • 36 slides

Denotational semantics, Pure functional programming

CS 242. 2007. Denotational semantics, Pure functional programming. John Mitchell. Reading: Chapter 4, sections 4.3, 4.4 only Skim section 4.1 for background on parsing. Syntax and Semantics of Programs. Syntax The symbols used to write a program Semantics

917 views • 30 slides

Introduction to Computability Theory

Introduction to Computability Theory. Discussion1: Conversion of A DFA to a Regular Expression Prof. Amos Israeli. Ripping a state from a GNFA(rem.).

431 views • 30 slides

CS1502 Formal Methods in Computer Science

CS1502 Formal Methods in Computer Science. Lecture Notes 16 Review for Exam2 continued Theory of Computation Introduction. 10.25. Is the following a logical truth? ~exist z Small(z)  exist z ~Small(z). 11.16. 1. Every cube is to the left of every tet.

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Lecture 1 Theory of Computation

Lecture 1 Theory of Computation. Yasir Imtiaz Khan. Goals of Theory of Computation. What is computable? What can be computed efficiently within a certain and time constraints? The ultimate answer from the Turing machine test is that anything can be computed by ignoring time and space.

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CS5371 Theory of Computation

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