PPT-Learning Automata Chapter 1~1.2

Sunuwe Kim 20161006 Laboratory for System Health amp Risk management Contents Introduction Learning Learning in Psychology Deterministic Stochastic and Adaptive Process Hill Climbing. THEORY. II B. Questions Answers(DFA-NFA) . Dept. of Computer Science & IT, FUUAST Automata Theory . 2. Automata Theory II B. For .  = {a, b} construct DFA that accepts all strings with exactly one ‘a’ .. THEORY. II. 1. . Defs. .. . a) Finite Automaton:. A Finite Automaton ( FA ) has finite set of ‘states’ ( Q={q. 0,. q. 1,. q. 2,. ….. ) and its ‘control’ moves from state to state in response to external ‘inputs’(. THEORY. I. Introduction. What is Automata. Automaton and types of automata. History, Turing Machine. Why study Automata Theory. e) Applications & Uses. Dept. of Computer Science & IT, FUUAST Automata Theory . Peter . Černo. Department of Computer Science. Charles . University in Prague, . Faculty of Mathematics and Physics. Table of Contents. Part I. : . Introduction. ,. Part II. : . Learning Schema. ,. Part III. THEORY. VII. Dept. of Computer Science & IT, FUUAST Automata Theory . 2. Automata Theory VII. Properties of Context-Free Languages. Dept. of Computer Science & IT, FUUAST Automata Theory . THEORY. V. Dept. of Computer Science & IT, FUUAST Automata Theory . 2. Automata Theory V. Context-Free Grammars. and . Languages. A . Reading: Chapter 1. 2. What is Automata Theory?. Study of abstract computing devices, or “machines”. Automaton = an abstract computing device. Note:. A “device” need not even be a physical hardware!. 29-September-2011. Modeling Temporal Behavior of Component. Component behaves with Environment. Traditional (pessimistic) approach. Environment is free to behave as it wants to. Two components are compatible if . . Characterization. of. Context-Free. . Trace. . Languages. Benedek Nagy. Friedrich Otto. Department. of Computer Science . Fachbereich. . Elektrotechnik. /. Informatik. Faculty. of . Pierre Bourhis . CNRS . CRIStAL. , Equipe LINKS. Joint . works. . with. . M.Benedikt. , . M.Krötzsch. , S. Rudolph, P. Senellart, M. Van Den Boom. 1. Querying a database . Database : a labelled graph or hypergraph. 2. Finite Automaton (FA). Informally, a state diagram that comprehensively captures all possible states and transitions that a machine can take while responding to a stream or sequence of input symbols. For Inferring Discrete Event Automata. Mohammad Mahdi Karimi. PhD. . Candidate, . ECE. Supervisor: . Dr. Ali . Karimoddini. Summer 2015. 1. Content. Discrete Event Systems. Definitions . Applications. Chapter 2 FINITE AUTOMATA Learning Objectives At the conclusion of the chapter, the student will be able to: Describe the components of a deterministic finite accepter ( dfa ) State whether an input string is accepted by a dfa Chapter 7 PUSHDOWN AUTOMATA Learning Objectives At the conclusion of the chapter, the student will be able to: Describe the components of a nondeterministic pushdown automaton State whether an input string is accepted by a