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020 _a9783540314820
_9978-3-540-31482-0
024 7 _a10.1007/11527800
_2doi
050 4 _aQA75.5-76.95
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aUYA
_2thema
082 0 4 _a004.0151
_223
245 1 0 _aUnconventional Programming Paradigms
_h[electronic resource] :
_bInternational Workshop UPP 2004, Le Mont Saint Michel, France, September 15-17, 2004, Revised Selected and Invited Papers /
_cedited by Jean-Pierre Banâtre, Pascal Fradet, Jean-Louis Giavitto, Olivier Michel.
250 _a1st ed. 2005.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2005.
300 _aXI, 367 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v3566
505 0 _aInvited Talk -- From Quantum Physics to Programming Languages: A Process Algebraic Approach -- Chemical Computing -- Chemical Computing -- Programming Reaction-Diffusion Processors -- From Prescriptive Programming of Solid-State Devices to Orchestrated Self-organisation of Informed Matter -- Relational Growth Grammars - A Graph Rewriting Approach to Dynamical Systems with a Dynamical Structure -- A New Programming Paradigm Inspired by Artificial Chemistries -- Higher-Order Chemical Programming Style -- Amorphous Computing -- to Amorphous Computing -- Abstractions for Directing Self-organising Patterns -- Programming an Amorphous Computational Medium -- Computations in Space and Space in Computations -- Bio-inspired Computing -- Bio-inspired Computing Paradigms (Natural Computing) -- Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm -- Design, Simulation, and Experimental Demonstration of Self-assembled DNA Nanostructures and Motors -- Membrane Systems: A Quick Introduction -- Cellular Meta-programming over Membranes -- Modelling Dynamically Organised Colonies of Bio-entities -- P Systems: Some Recent Results and Research Problems -- Outlining an Unconventional, Adaptive, and Particle-Based Reconfigurable Computer Architecture -- Autonomic Computing -- Autonomic Computing: An Overview -- Enabling Autonomic Grid Applications: Dynamic Composition, Coordination and Interaction -- Grassroots Approach to Self-management in Large-Scale Distributed Systems -- Autonomic Runtime System for Large Scale Parallel and Distributed Applications -- Generative Programming -- Towards Generative Programming -- Overview of Generative Software Development -- A Comparison of Program Generation with Aspect-Oriented Programming -- Generative Programming from a PostObject-Oriented Programming Viewpoint.
520 _aNowadays, developers have to face the proliferation of hardware and software environments, the increasing demands of the users, the growing number of p- grams and the sharing of information, competences and services thanks to the generalization ofdatabasesandcommunication networks. Aprogramisnomore a monolithic entity conceived, produced and ?nalized before being used. A p- gram is now seen as an open and adaptive frame, which, for example, can - namically incorporate services not foreseen by the initial designer. These new needs call for new control structures and program interactions. Unconventionalapproachestoprogramminghavelongbeendevelopedinv- iousnichesandconstituteareservoirofalternativewaystofacetheprogramming languages crisis. New models of programming (e. g. , bio-inspired computing, - ti?cialchemistry,amorphouscomputing,. . . )arealsocurrentlyexperiencinga renewed period of growth as they face speci?c needs and new application - mains. These approaches provide new abstractions and notations or develop new ways of interacting with programs. They are implemented by embedding new sophisticated data structures in a classical programming model (API), by extending an existing language with new constructs (to handle concurrency, - ceptions, open environments, . . . ), by conceiving new software life cycles and program executions (aspect weaving, run-time compilation) or by relying on an entire new paradigm to specify a computation. They are inspired by theoretical considerations (e. g. , topological, algebraic or logical foundations), driven by the domain at hand (domain-speci?c languages like PostScript, musical notation, animation, signal processing, etc. ) or by metaphors taken from various areas (quantum computing, computing with molecules, informationprocessing in - ological tissues, problem solving from nature, ethological and social modeling).
650 0 _aComputer science.
_99832
650 0 _aCompilers (Computer programs).
_93350
650 0 _aMachine theory.
_9149067
650 1 4 _aTheory of Computation.
_9149068
650 2 4 _aCompilers and Interpreters.
_931853
650 2 4 _aFormal Languages and Automata Theory.
_9149069
700 1 _aBanâtre, Jean-Pierre.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9149070
700 1 _aFradet, Pascal.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9149071
700 1 _aGiavitto, Jean-Louis.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9149072
700 1 _aMichel, Olivier.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9149073
710 2 _aSpringerLink (Online service)
_9149074
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540278849
776 0 8 _iPrinted edition:
_z9783540813323
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v3566
_9149075
856 4 0 _uhttps://doi.org/10.1007/11527800
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