International Journal of Natural Computing Research, 2(4), 17-30, October-December 2011 17
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Keywords: Computer Science, Information Processing, Natural Computing, Natural Computing Systems,
Natural Science, Transdisciplinarity
1. COMPUTING: YESTERDAY,
TODAY, AND TOMORROW
The history of computing is much longer than
the history of the Computer Science discipline.
Whilst computing is related with the representa-
tion of numbers and can be traced back to even
earlier than mathematical concepts, Computer
Science, as we understand it today, is more re-
lated with the computer hardware, software and
technology. Since Computer Science appeared
formally in the 1940s it has been alternating its
focus of attention (Denning, 2008):
The Grand Challenges in
Natural Computing Research:
The Quest for a New Science
Leandro Nunes de Castro, Natural Computing Laboratory (LCoN), Mackenzie University,
Brazil
Rafael Silveira Xavier, Natural Computing Laboratory (LCoN), Mackenzie University, Brazil
Rodrigo Pasti, Laboratory of Bioinformatics and Bio-Inspired Computing (LBiC), State
University of Campinas (UNICAMP), Brazil
Renato Dourado Maia, State University of Montes Claros, Brazil
Alexandre Szabo, Natural Computing Laboratory (LCoN), Mackenzie University, Brazil
Daniel Gomes Ferrari, Natural Computing Laboratory (LCoN), Mackenzie University, Brazil
ABSTRACT
An important premise of Natural Computing is that some form of computation goes on in Nature, and that
computing capability has to be understood, modeled, abstracted, and used for different objectives and in dif-
ferent contexts. Therefore, it is necessary to propose a new language capable of describing and allowing the
comprehension of natural systems as a union of computing phenomena, bringing an information processing
perspective to Nature. To develop this new language and convert Natural Computing into a new science it
is imperative to overcome three speciic Grand Challenges in Natural Computing Research: Transforming
Natural Computing into a Transdisciplinary Discipline, Unveiling and Harnessing Information Processing
in Natural Systems, Engineering Natural Computing Systems.
DOI: 10.4018/jncr.2011100102