Modelling Language Behaviour


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Modelling Language Behaviour


Modelling Language Behaviour

Author: R. Narasimhan

language: en

Publisher: Springer Science & Business Media

Release Date: 2013-03-12


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This book studies language behaviour in the larger context of modelling or ganismic behaviour more generally. It starts out from the basic premise that what is characteristic of organismic behaviour is that an organism uses its behavioural acts to accomplish something in its interactions with the world in which it finds itself. These two features, that an organism has a behav ioural repertoire and that it deploys specific behavioural acts from its repertoire in an intentional way, define the agentive nature of an organism. The study of organismic behaviour, then, must primarily concern itself with this agentive aspect of an organism and determine what structures and proces ses underlie these intentional organismic acts. We should be able to say what primitive structures and what primitive processes put together in what ways can give rise to the kinds of behavioural acts an organism engages in. Any explanation of behaviour that we formulate in terms of underlying structures and processes must be testable and must be consonant with the observed pheno menological aspects of such behaviour.

UML 2003 -- The Unified Modeling Language, Modeling Languages and Applications


UML 2003 -- The Unified Modeling Language, Modeling Languages and Applications

Author: Perdita Stevens

language: en

Publisher: Springer Science & Business Media

Release Date: 2003-10-09


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This book constitutes the refereed proceedings of the 6th International Conference on the Unified Modelling Language, UML 2003, held in San Francisco, CA, USA in October 2003. The 25 revised full papers, 4 tool papers, and 1 experience paper presented together with the abstracts of 3 invited talks and summaries on the UML 2003 workshop and tutorials were carefully reviewed and selected from initially 168 submissions. The papers are organized in topical sections on practical model management, time and quality of service, tools, composition and architecture, transformation, Web related issues, testing and validation, improving UML/OCL, consistency, and methodology.

Reasoning Web. Semantic Technologies for Software Engineering


Reasoning Web. Semantic Technologies for Software Engineering

Author: Uwe Aßmann

language: en

Publisher: Springer Science & Business Media

Release Date: 2010-08-25


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Welcome to the proceedings of Reasoning Web 2010 which was held in Dresden. Reasoning Web is a summer school series on theoretical foundations,contemporary approaches, and practical solutions for reasoning in a Web of Semantics. It has est- lished itself as a meeting point for experts from research institutes and industry, as well as students undertakingtheir PhDs in related ?elds. This volume contains tutorial notes of the sixth school in the series, held from August 30 to September 3, 2010. This year, the school focused on applications of semantic technologies in software engineeringandthereasoningtechnologiesappropriateforsuchanendeavor. Asit turns out, semantic technologies in software engineering are not so easily applied, and s- eral issues mustbe resolvedbeforesoftware modelingcanbene?t fromreasoning. First, reasoning has to be fast and scalable, since models and programscan be quite large and voluminous. SincemanyreasoninglanguagesareexponentialorNP-complete,appro- mation, incrementalization,and other optimizationtechniques are extremelyimportant. Second, software engineering needs to model software systems, in contrast to mod- ing domains of the world. Thus, the modeling techniques are prescriptive rather than descriptive [1], which in?uences the way models are reasoned about. When a software system is modeled, its behavior is prescribed by the model, that is, “the truth is in the model”[2]; when a domainof the world is described,its behaviorcannotbe prescribed, only described by the model (“the truth is in the world”). Therefore, reasoning has to distinguish between prescriptiveness and descriptiveness, leading to different assu- tions about the closeness or openness of the world (closed-world assumption, CWA vs. open-world assumption, OWA).