2 edition of **first-order dynamic logic for planning** found in the catalog.

- 65 Want to read
- 34 Currently reading

Published
**1982** by Computer Systems Research Group, University of Toronto in Toronto .

Written in English

- Electronic data processing,
- Artificial intelligence

**Edition Notes**

Statement | Henry A. Kautz. |

Series | Technical report -- CSRG-144, Technical report CSRG (University of Toronto. Computer Systems Research Group) -- 144 |

Contributions | University of Toronto. Computer Systems Research Group. |

Classifications | |
---|---|

LC Classifications | QA76.99 K38 1982 |

The Physical Object | |

Pagination | 113 p. -- |

Number of Pages | 113 |

ID Numbers | |

Open Library | OL19800549M |

cal proofs, the best formalization of it so far is the Henkin second-order logic. In other words, I claim, that if two people started using second-order logic for formalizing mathematical proofs, person F with the full second-order logic and person Hwith the Henkin second-order logic. This book provides a survey of mathematical logic and its various applications. After covering basic material of propositional logic and first-order logic, the course presents the foundations of finite model theory and descriptive complexity. ( views) Natural Topology by Frank Waaldijk - arXiv, The aim of this book is to give students of computer science a working knowledge of the relevant parts of logic. It is not intended to be a review of applications of logic in computer science, neither is it primarily intended to be a first course in logic for students of mathematics or philosophy, although we believe that. There are many kinds of books on formal logic. Some have philosophers as their intended audience, some mathematicians, some computer scien tists. Although there is a common core to all such books, they will be very different in emphasis, methods, and even appearance. This book is intended for computer scientists. But even this is not precise. Within computer science formal logic turns up in a.

Introduction to Artiﬁcial Intelligence First-order Logic (Logic, Deduction, Knowledge Representation) Bernhard Beckert UNIVERSITÄT KOBLENZ-LANDAU Wintersemester / B. Beckert: Einführung in die KI / KI für IM – p.1File Size: KB.

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First-Order Dynamic Logic (Lecture Notes in Computer Science (68)) th Edition by D. Harel (Author) out of 5 stars 1 rating. ISBN ISBN Why is ISBN important. ISBN. This bar-code number lets you verify that you're getting exactly the right version or edition of a book. Cited by: First-Order Dynamic Logic.

Editors; David Harel; Book. Citations; Downloads; Part of the Lecture Notes in Computer Science book series (LNCS, volume 68) Chapters Table of contents (2 chapters) About About this book; Table of contents.

Search within book. Front Matter. PDF. Part I: Binary-relation semantics. This book provides the first comprehensive introduction to Dynamic Logic. It is divided into three parts. The first part reviews the appropriate fundamental concepts of logic and computability theory and can stand alone as an introduction to these topics.

The second part discusses PDL and its variants, and the third part discusses DL. Bruni R, Ferreira C and Kersten Kauer A First-Order dynamic logic for compensable processes Proceedings of the 14th international conference on Coordination Models and Languages, () Fischer P, Nafz F, Seebach H and Reif W Ensuring correct self-reconfiguration in safety-critical applications by verified result checking Proceedings of the workshop on Organic computing, ().

This book introduces some extensions of classical first-order logic and applies them to reasoning about computer programs. The extensions considered are: second-order logic, many-sorted logic, w-logic, modal logic type theory and dynamic logic.

This book provides the first comprehensive introduction to Dynamic the many approaches to formal reasoning about programs, Dynamic Logic enjoys the singular advantage of being strongly related to classical logic. Its variants constitute natural generalizations and extensions of classical formalisms.

For example, Propositional Dynamic Logic (PDL) can be described as a blend of three 5/5(1). Lecture 9: First-order Logic and Planning.

• First-order logic • Inference in ﬁrst-order logic • Expressing planning problems: PDDL and STRIPS language and PDDL • State-space planning – Forward planners – Goal regression • Plan-space planning • What to do if plans fail.

Introduction Part 1: First-Order Logic • formalizes fundamental mathematical concepts • expressive (Turing-complete) • not too expressive (not axiomatizable: natural numbers, uncountable sets) • rich structure of decidable fragments • rich model and proof theory First-order logic is also called (ﬁrst-order) predicate logic.

Ruzica Piskac First-Order Logic - Syntax, Semantics. PDL is to (first-order) dynamic logic as propositional logic is to first-order logic. Fischer and Ladner showed in their paper that PDL satisfiability was of computational complexity at most nondeterministic exponential time, and at least deterministic exponential time in the worst case.

By designing this framework, you provide a coordinated roadmap (game plan) for your team to be successful. One valuable component to an effective roadmap / intentional program design is creating a Dynamic Logic Model.

As the name suggests, building a Logic Model itself is a straight-forward enough process and can be a really valuable team exercise. First-order dynamic logic Volume 68 of Lecture notes in computer science: Author: David Harel: Publisher: Springer, Length: pages: Subjects.

Search ACM Digital Library. Search. Advanced Search. x:=0; while x**2 +1. (1) In Dynamic Logic, such programs are first-class objects on a par with formulas, complete with a collection of operators for forming compound programs inductively from a basis of primitive programs. In the simplest version of DL.

Pratt’s original dynamic logic of programs was a first-order modal logic. Propositional Dynamic Logic (PDL) is the propositional counterpart of it.

It was presented as a logic in its own right in Fischer and Ladner []. Being propositional, the language of PDL makes no Cited by: 9. Raymond Smullyan (–), mathematician, logician, magician, creator of extraordinary puzzles, philosopher, pianist, and man of many parts. The first Dover book by Raymond Smullyan was First-Order Logic ().Cited by: Transaction logic (TR) is a formalism that accounts for the specification and execution of update phenomena in arbitrary logical theory, specially logic programs and databases.

Here are some of the standard VLSI Physical Design books that are helping me. Algorithms for VLSI Physical Design Automation - Naveed Shervani, Kluwer Academic Publisher, Second edition. Algorithm and Data Structures for VLSI Design - Christ. Part II covers first-order logic, offering detailed treatment of such matters as first-order analytic tableaux, analytic consistency, quantification theory, magic sets, and analytic versus synthetic consistency properties.

Part III continues coverage of first-order logic. Among the topics discussed are Gentzen systems, 4/5. Additional Physical Format: Online version: Harel, David, First-order dynamic logic. Berlin ; New York: Springer-Verlag, (OCoLC) Books by David Harel D.

Harel, First-Order Dynamic Logic, Lecture Notes in Computer Science, Vol. 68, Springer-Verlag, New York, More Details. The modalities of Dynamic Logic refer to the final state of a program execution and allow to specify programs with pre- and post- conditions.

In this paper, we extend Dynamic Logic with additional A Sequent Calculus for First-Order Dynamic Logic with Trace Modalities | SpringerLinkCited by: Dynamic Epistemic Logic (DEL) is a family of multimodal logics that has proved to be very successful for epistemic reasoning in planning tasks.

In this logic, the agent's knowledge is captured by. This book develops a view of logic as a theory of information-driven agency and intelligent interaction between many agents - with conversation, argumentation and games as guiding examples. It provides one uniform account of dynamic logics for acts of inference, observation, questions and communication, that can handle both update of knowledge Cited by: Automated Planning mirrors this dialogue by offering a comprehensive, up-to-date resource on both the theory and practice of automated planning.

The book goes well beyond classical planning, to include temporal planning, resource scheduling, planning under uncertainty, and modern techniques for plan generation, such as task decomposition.

This page contains UGC NET Computer Science Preparation Notes / Tutorials on Mathematics, Algorithms, Programming and Data Structures, Operating Systems, Database Management Systems (DBMS), Computer Networks, Computer Organization and Architecture, Theory of Computation, Compiler Design, Digital Logic, and Software Engineering listed according.

(LMCS,p) V.1 First{OrderLogic Thisisthemostpowerful,mostexpressive logicthatwewillexamine. Ourversionofﬂrst-orderlogicwillusethe followingsymbols:File Size: KB. Artificial Intelligence (referred to hereafter by its nickname, “AI”) is the subfield of Computer Science devoted to developing programs that enable computers to display behavior that can (broadly) be characterized as intelligent.

[] Most research in AI is devoted to fairly narrow applications, such as planning or speech-to-speech translation in limited, well defined task domains. First-order logic • Propositional logic assumes the world contains facts that are true or false.

• First-order logic assumes the world contains – Objects: people, houses, numbers, colors, baseball games, wars, – Relations between objects: red, round, prime, brother of, bigger than, part of, comes between.

First-order logic—also known as predicate logic, quantificational logic, and first-order predicate calculus—is a collection of formal systems used in mathematics, philosophy, linguistics, and computer -order logic uses quantified variables over non-logical objects and allows the use of sentences that contain variables, so that rather than propositions such as Socrates is a man.

AN APPLICATION TO DYNAMIC LOGIC The programming language IND originally arose in our attempt to clarify a result of Meyer and Parikh () on the relative expressibility of four variants of first-order dynamic logic (DL), namely DLreg, DLcf, DLft, and by: Additional Physical Format: Print version: (DLC) (OCoLC) Online version: Harel, David, First-order dynamic logic.

Berlin ; New York: Springer-Verlag, Given statement is: ¬ ∃ x (∀y(α) ∧ ∀z(β)) where ¬ is a negation operator, ∃ is Existential Quantifier with the meaning of "there Exists", and ∀ is a Universal Quantifier with the meaning " for all ", and α, β can be treated as we can apply some of the standard results of Propositional and 1st order logic on the given statement, which are as follows.

Logic-based approaches include reduction of the service composition problem to satisfiability in logic of programs (Berardi et al., ) such as Propositional Dynamic Logic (PDL). More recent work (Patrizi, ) applies Linear Time Logic synthesis, based on model checking of game : Maja Vukovic, Peter Robinson.

First-Order Dynamic Logic by David Harel starting at $ First-Order Dynamic Logic has 2 available editions to buy at Half Price Books Marketplace Use coupon code ALLNEW and get 15% off your first order, now through June 30*.

HPBMarketplace's last day is J KeYmaera supports differential dynamic logic [4,6], which is a real-valued first-order dynamic logic for hybrid programs, a program notation for hybrid automata. For automating the verification process, KeYmaera implements a generalized free-variable sequent calculus and automatic proof strategies that decompose the hybrid system specification.

Tiuryn’s scientific work spans two centuries, and can be broadly divided into two sections. In the 20th century he contributed greatly to the theory of Hoare logic and various other dynamic logics, especially first-order dynamic logic, before turning his attention towards functional programming, type-inference and lambda calculus.

Kautz completed his master thesis A First-Order Dynamic Logic for Planning under the supervision of C. Raymond Perrault, and then received his M.S. in computer science in Before receiving his Ph.D. from University of Rochester in he was a teaching assistant for Patrick Hayes (Fall of ), a teaching assistant (Spring of ) Awards: IJCAI Computers and Thought Award.

dynamic logic (PDL) that is the most prominent one. The systems which embody change include process calculi and logic programming. But, more significantly, they are also taken to include stand-ard propositional and first-order logic. That is, the book uncovers and re-constructs the implicitly dynamic aspects of the most common logical systems.

The primary goal of this book is to provide a self-contained, comprehensive study of the main?rst-order methods that are frequently used in solving large-scale problems. First-order methods exploit information on values and gradients/subgradients (but not Hessians) of the functions composing the model under consideration.

With the increase in the number of applications that can be modeled as. For example, Propositional Dynamic Logic (PDL) can be described as a blend of three complementary classical ingredients: propositional calculus, modal logic, and the algebra of regular events.

In First-Order Dynamic Logic (DL), the propositional calculus is replaced by classical first-order predicate calculus.

Introduction to Artificial Intelligence by Cristina Conati. This note provides an introduction to the field of artificial intelligence. Major topics covered includes: reasoning and representation, search, constraint satisfaction problems, planning, logic, reasoning under uncertainty, and planning under uncertainty.The Language of First-order Logic.

Declarative language Before building system before there can be learning, reasoning, planning, explanation need to be able to express knowledge Want a precise declarative language • declarative: believe P = hold P to be true.There is no textbook, but notes on Modal Logic and papers will be handed out.

Credit: 12 units: Grading: 50% Homework, 15% Midterm, 35% Project. Homework: Weekly homework for the first n weeks of the course goes out Thursday and is due the following Thursday. pts. Exams: Midterm, in class, Thu Mar 4,