PPT-Decidable Logics Combining

Heap Structures and Data Gennaro Parlato LIAFA Paris France Joint work with P Madhusudan Xiaokang Qie University of Illinois at . A is a decidable language q0 0111 q0 q1q2q3 01 q0q2q3 0111 Decidable Problems q0 A B is an NFA B accepts w NFA Th A is decidable NFA q1q2q3 01 q0 q0 q1 brPage 2br Decidable Problems DFA E B is a DFA LB is nonempty Th E is decidable DFA L Sipser. 4.1 (pages 165-173). Hierarchy of languages. All languages. Turing-recognizable. Turing-decidable. Context-free languages. Regular languages. 0. n. 1. n. a. n. b. n. c. n. D. 0. *. 1. *. Describing Turing machine input. 1. . Theory of Computation Peer Instruction Lecture Slides by . Dr. Cynthia Lee, UCSD.  are licensed under a . Creative Commons Attribution-. NonCommercial. -. ShareAlike. 3.0 . Unported. License. bn wwR Our main goal is to exhibit a language L that Theory of Computation. Alexander . Tsiatas. Spring 2012. Theory of Computation Lecture Slides by Alexander . Tsiatas. is licensed under a Creative Commons Attribution-. NonCommercial. -. ShareAlike. Multi-Element VLC Networks. Authors: Yusuf Said Eroglu, Ismail . Guvenc. , . Alphan. . Sahin. , Murat . Yuksel. , and . Nezih. Pala. Presenter: Yusuf Said Eroglu. Outline. Background. Multi-Element VLC Transmitters and Receivers. Solvers. Harm?. Christoph Weidenbach. CDCL Reasoning. Not Redundant. Ordering Portfolio Ordered Resolution. Bernays-Schoenfinkel. (BS). Target language for a number of decidable logics: QBF, Description Logics, Modal Logics, Monadic Fragment, Ontology Languages. Turing Machine: Languages. Recall that a collection of strings that a TM M accepts is called. the language of M or language recognized by M, denoted L(M).. Definition. A . language is Turing-recognizable (or recursively enumerable) if . Fall 2017. http://cseweb.ucsd.edu/. classes/fa17/cse105-a/. Today's learning goals . Sipser Ch 4.1. Explain what it means for a problem to be decidable.. Justify the use of encoding.. Give examples of decidable problems.. Fall 2017. http://cseweb.ucsd.edu/. classes/fa17/cse105-a/. Today's learning goals . Sipser Ch 4.1. Explain what it means for a problem to be decidable.. Justify the use of encoding.. Give examples of decidable problems.. Inserting Words. Inserting Groups of Words . Combining Subjects & Verbs. Combining Complete Sentences. Combining Sentences. Inserting Words. Pull a key word from one sentence and insert it into the other sentence. Add the key word and drop the rest of the 2. Based on . M. . Sipser. , “Introduction to the Theory of Computation,” Second Edition, Thomson/Course Technology, 2006, Chapter 5.. Review. Recall the . halting problem. :. . HALT. TM. = { . . A family of logic based . KR . formalisms. Descendants of semantic networks and KL-ONE. Describe domain in terms of concepts (classes), roles (relationships) and individuals. Distinguished by:. Formal semantics (typically model theoretic). Coping with uncertain futures. Dr Christophe Lazaro (. UCLouvain. ). Dr Marco Rizzi (UWA Law School). Introduction – technological context. development of artificial intelligence (AI) and digitization of life .