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978-3-540-31482-0 |
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20151204185913.0 |
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|a 9783540314820
|9 978-3-540-31482-0
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|a 10.1007/11527800
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|a 004.0151
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|a Unconventional Programming Paradigms
|h [electronic resource] :
|b International Workshop UPP 2004, Le Mont Saint Michel, France, September 15-17, 2004, Revised Selected and Invited Papers /
|c edited by Jean-Pierre Banâtre, Pascal Fradet, Jean-Louis Giavitto, Olivier Michel.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2005.
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|a XI, 367 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 3566
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|a Invited 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 Post Object-Oriented Programming Viewpoint.
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|a Nowadays, 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, information processing in - ological tissues, problem solving from nature, ethological and social modeling).
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| 650 |
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|a Computer science.
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| 650 |
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|a Programming languages (Electronic computers).
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| 650 |
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|a Computers.
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|a Mathematical logic.
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|a Computer Science.
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| 650 |
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|a Computation by Abstract Devices.
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| 650 |
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|a Programming Languages, Compilers, Interpreters.
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| 650 |
2 |
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|a Mathematical Logic and Formal Languages.
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| 700 |
1 |
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|a Banâtre, Jean-Pierre.
|e editor.
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| 700 |
1 |
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|a Fradet, Pascal.
|e editor.
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| 700 |
1 |
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|a Giavitto, Jean-Louis.
|e editor.
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| 700 |
1 |
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|a Michel, Olivier.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783540278849
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| 830 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 3566
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/11527800
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a ZDB-2-LNC
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|a Computer Science (Springer-11645)
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