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CINNI - A generic calculus of explicit substitutions and its application to λ- ς- and π-Calculi

CINNI - A generic calculus of explicit substitutions and its...

引用

The 3rd international workshop on Rewriting logic and its Applications

作者： Stehr, Mark-Oliver SRI International Computer Science Laboratory Menlo Park CA 94025 United States

We approach the general problem of representing higher-order languages, that are usually equipped with special variable binding constructs, in a less specialized first-order framework such as membership equational logic and the corresponding version of rewriting logic. The solution we propose is based on CINNI, a new calculus of explicit substitutions that makes use of a term representation that contains both the standard named notation and de Bruijn's indexed notation as special subcases. The calculus is parametric in the syntax of the object language, which allows us to apply it to different object languages such as λ-calculus, Abadi and Cardelli's object calculus (ς-calculus) and Milner's calculus of communicating mobile processes (π-calculus). As a practical result we obtain executable formal representations of these object languages in Maude with a representational distance close to zero. This work has been supported by DARPA through Rome Laboratories Contract F30602-C-0312, by DARPA and NASA through Contract NAS2-98073, by Office of Naval Research Contract N00014-99-C-0198, and by National Science Foundation Grant CCR-9900334. We would like to thank Jose Meseguer for his advice, including his early suggestion to represent higher-order languages in rewriting logic using explicit substitutions, Cesar Muñoz for many discussions on calculi of explicit substitutions, especially in connection with type theory and proof synthesis, and Narciso Martí-Oliet for many useful suggestions and his constructive criticism. We also appreciate the comments of several referees which helped to improve the paper. In particular, we are indebted to an anonymous referee for pointing out that the representation used by CINNI for pure terms is equivalent to Berkling's representation, and for providing us with the corresponding references. ©2000 Published by Elsevier Science B. V.

关键词： High level languages

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Parameterized theories and views in full Maude 2.0

Parameterized theories and views in full Maude 2.0

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The 3rd international workshop on Rewriting logic and its Applications

作者： Durán, Francisco Meseguer, José ETSII Universidad de Málaga Spain SRI International Menlo Park CA United States

Parameterized specification and programming is a key modularity and reusability technique crucial for managing the complexity of large specifications and programs. In the search for ever more powerful parameterized module composition operations, languages in the Clear/OBJ tradition, including OBJ3, CafeOBJ, and Maude, have used categorical constructions involving three key notions: (i) modules, which are theories with an initial or, more generally, free extension semantics;(ii) theories, with a loose semantics;and (iii) views, which are theory interpretations used to instantiate parameter theories, and to assert formal properties. It has for long been understood that the full generality and power of a module algebra based on these notions requires parameterized theories and views, not just parameterized modules. However, at present, none of the above-mentioned language implementations supports parameterized modules and views. This paper explains and illustrates with examples the language design of Full Maude 2.0, a new module algebra for Maude currently under development in which modules, theories, and views can all be parameterized. We also summarize the underlying categorical semantics, based on the notion of structured modules with freeness constraints, and explain the reflective design of the Full Maude 2.0 implementation. We are very thankful to Narciso Martí-Oliet for his collaboration in the development of this work, for his careful reading of several versions of the paper, and for his many helpful suggestions for improvement. We are also greatful to Joseph Goguen for his constructive criticism and comments on these ideas. ©2000 Published by Elsevier Science B. V.

关键词： Computer programming languages

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Interactive robot programming based on human demonstration and advice 3rd

引用

3rd international workshop on Sensor Based Intelligent Robots

作者： Friedrich, H Dillmann, R Rogalla, O Univ Karlsruhe Inst Proc Control & Robot D-76128 Karlsruhe Germany

ISBN: (纸本)3540669337

Service robots require interactive programming interfaces that allow users without programming experience to easily instruct the robots. Systems following the programming by Demonstration (PbD) paradigm that were developed within the last years are getting closer to this goal. However, most of these systems lack the possibility for the user to supervise and influence the process of program generation after the initial demonstration was performed. In this paper an approach is presented, that enables the user to supervise the entire program generation process and to annotate, and edit system hypotheses. Moreover, the knowledge representation and algorithms presented enable the user to generalise the generated program by annotating conditions and object selection criteria via a 3D simulation and graphical user interface. The resulting PbD-system widens the PbD approach in robotics to programming based on human demonstrations and user annotations.

关键词： Graphical user interfaces

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Discovering new knowledge from graph data using inductive logic programming 9th

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9th international workshop on Inductive logic programming (ILP-99)

作者： Miyahara, T Shoudai, T Uchida, T Kuboyama, T Takahashi, K Ueda, H Hiroshima City Univ Fac Informat Sci Hiroshima 7313194 Japan Kyushu Univ 39 Dept Informat Kasuga Fukuoka 8168580 Japan Univ Tokyo Ctr Collaborat Res Tokyo 1530041 Japan

ISBN: (纸本)3540661093

We present a method for discovering new knowledge from structural data which are represented by graphs in the framework of inductive logic programming. A graph, or network, is widely used for representing relations between various data and expressing a small and easily understandable hypothesis. Formal Graph System (FGS) is a kind of logic programming system which directly deals with graphs just like first order terms. By employing refutably inductive inference algorithms and graph algorithmic techniques, we are developing a knowledge discovery system KD-FGS, which acquires knowledge directly from graph data by using FGS as a knowledge representation language. In this paper we develop a logical foundation of our knowledge discovery system. A term tree is a pattern which consists of variables and tree-like structures. We give a polynomial-time algorithm for finding a unifier of a term tree and a tree in order to make consistency checks efficiently. Moreover we give experimental results on some graph theoretical notions with the system. The experiments show that the system is useful for finding new knowledge.

关键词： Computer circuits

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A fuzzy approach to hand functioning in virtual programming 3

A fuzzy approach to hand functioning in virtual programming

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3rd IEEE international Symposium on Computational Intelligence in Robotics and Automation, CIRA 1999

作者： Yuan, Xiaobu Sun, Hanqiu Department of Computer Science Memorial University of Newfoundland St. John'sNLA1B 3X5 Canada Department of Computer Science and Engineering The Chinese University of Hong Kong Shatin N.T. Hong Kong Hong Kong

ISBN: (纸本)0780358066

Virtual assembly allows human operators to use their hands manipulating the graphics representation of machinery parts and programming assembly tasks directly in a three-dimensional operation space. The imprecise measurements of data gloves and uncertainty of human factors, however, make the incorporation of human hands an error-probing and time-consuming task. This paper investigates the application of fuzzy logic in posture recognition. It presents a simple yet efficient method to handle the imprecision in both the registered sample patterns and run-time glove inputs. Experiment results demonstrate the advantages of us-, ing this approach in robot programming of virtual assembly systems. © 1999 IEEE.

关键词： Robot programming

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Disjunctive logic programming and autoepistemic logic

Disjunctive logic programming and autoepistemic logic

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3rd international workshop on logic programming and knowledge representation

作者： Yuan, LY You, JH Goebel, R Univ Alberta Dept Comp Sci Edmonton AB T6G 2H1 Canada

ISBN: (纸本)3540649581

In this paper, we use autoepistemic reasoning semantics to classify various semantics for disjunctive logic programs with default negation. We have observed that two different types of negative introspection in autoepistemic reasoning present two different interpretations of default negation: consistency-based and minimal-model-based. We also observed that all logic program semantics fall into three semantical points of view: the skeptical, stable, and partial-stable. Based on these two observations, we classify disjunctive logic program semantics into six different categories, and discuss the relationships among various semantics.

关键词： Semantics

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logic programming and knowledge representation - Third international workshop, LPKR'97, Selected Papers

Logic Programming and Knowledge Representation - Third Inter...

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3rd international workshop on logic programming and knowledge representation, LPKR 1997

ISBN: (纸本)3540649581

The proceedings contain 9 papers. The topics discussed include: knowledge representation with logic programs;DATALOG with nested rules;partial evidential stable models for disjunctive deductive databases;disjunctive logic programming and autoepistemic logic;a system for abductive learning of logic programs;refining action theories through abductive logic programming;abduction, argumentation and bi-disjunctive logic programs;reasoning with prioritized defaults;and generalizing updates: from models to programs.

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DATALOG with nested rules

DATALOG with nested rules

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3rd international workshop on logic programming and knowledge representation

作者： Greco, S Leone, N Scarcello, F Univ Calabria DEIS I-87030 Commenda Di Rende Italy Vienna Univ Technol Inst Informat Syst A-1040 Vienna Austria Univ Calabria DEIS ISI CNR I-87030 Arcavacata Di Rende Italy

ISBN: (纸本)3540649581

This paper presents an extension of disjunctive dat slog (Datalog(V)) by nested rules. Nested rules are (disjunctive) rules where elements of the head may be also rules. Nested rules increase the knowledge representation power of Datalog(V) both from a theoretical and from a practical viewpoint. A number of examples show that nested rules allow to naturally model several real world situations that cannot be represented in Datalog(V). An in depth analysis of complexity and expressive power of the language shows that nested rules do increase the expressiveness of Datalog(V) without implying any increase in its computational complexity.

关键词： knowledge representation

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A system for abductive learning of logic programs

A system for abductive learning of logic programs

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3rd international workshop on logic programming and knowledge representation

作者： Lamma, E Mello, P Milano, M Riguzzi, F Univ Bologna DEIS I-40136 Bologna Italy Univ Ferrara Dipartimento Ingn I-44100 Ferrara Italy

ISBN: (纸本)3540649581

We present the system LAP (Learning Abductive Programs) that is able to learn abductive logic programs from examples and from a background abductive theory. A new type of induction problem has been defined as an extension of the Inductive logic programming framework. In the new problem definition, both the background and the target theories are abductive logic programs and abductive derivability is used as the coverage relation. LAP is based on the basic top-down ILP algorithm that has been suitably extended. In particular, coverage of examples is tested by using the abductive proof procedure defined by Kakas and Mancarella [24]. Assumptions can be made in order to cover positive examples and to avoid the coverage of negative ones. and these assumptions can be used as new training data. LAP can be applied for learning in the presence of incomplete knowledge and for learning exceptions to classification rules.

关键词： abduction learning

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Abduction, argumentation and bi-disjunctive logic programs

Abduction, argumentation and bi-disjunctive logic programs

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3rd international workshop on logic programming and knowledge representation

作者： Wang, KW Chen, HW Changsha Inst Technol Sch Comp Changsha 410073 Peoples R China

ISBN: (纸本)3540649581

We study the relationship between argumentation (abduct ion) and disjunctive logic programming. Based on the paradigm of argumentation, an abductive semantic framework for disjunctive logic programming is presented, in which the disjunctions of negative literals are taken as possible assumptions rather than only negative literals as the case of non-disjunctive logic programming. In our framework, three semantics PDH, CDH and WFDH are defined by three kinds of acceptable hypotheses to represent credulous reasoning, moderate reasoning and skeptical reasoning in AI, respectively. On the other hand, our semantic framework could be established in a broader class than that of disjunctive programs (called bi-disjunctive logic programs) and, hence, the corresponding abductive framework is abbreviated as BDAS (Bi-Disjunctive Argumentation-theoretic Semantics). Besides its rich expressive power and nondeterminism, BDAS integrates and naturally extends many key semantics, such as the minimal models, EGCWA, the well-founded model, and the stable models. In particular, a novel and interesting argumentation-theoretic characterization of EGCWA is shown. Thus the framework in this paper does not only provides a new way of performing argumentation (abduction) in disjunctive logic programming, but also is a simple, intuitive and unifying semantic framework for disjunctive logic programming.

关键词： Semantics

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