Treffer: Outlining an unconventional, adaptive, and particle-based reconfigurable computer architecture

Title:
Outlining an unconventional, adaptive, and particle-based reconfigurable computer architecture
Source:
UPP 2004 : unconventional programming paradigms (15-17 September 2004, Mont Saint Michel, revised selected & invited papers)Lecture notes in computer science. :238-253
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 36 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
University of California, San Diego (UCSD), Department of Cognitive Science, 9500 Gilman Drive, La Jolla, CA 92093-0515, United States
ISSN:
0302-9743
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17134526
Database:
PASCAL Archive

Weitere Informationen

The quest for novel and unconventional computing machines is mainly motivated by the man-machine dichotomy and by the belief that dealing with new physical computing substrates, new environments, and new applications will require new paradigms to organize, train, program, and to interact with them. The goal of this contribution is to delineate a possible way to address the general scientific challenge of seeking for further progress and new metaphors in computer science by means of unconventional approaches. Here we outline an amalgamation of (1) a particle-based, randomly interconnected, and reconfigurable substrate, (2) membrane systems, and (3) artificial chemistries in combination with (4) an unconventional adaptation paradigm.