Title and Author
|
Abstract
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Cryptographic Randomness
by
Haile Eyob
|
Wolfram
has studied Rule 30 in relation to cryptography
and random number generation. The use of cellular
automata computing is still on it infancy and the
world of information security is mainly based on
other encryption methods for its development.
|
Irreducibility and Unpredictability in Nature
by
Harry Fu
|
It is worthwhile to
examine some concept of emergence with property
such as irreducibility and unpredictability seen
in nature. These properties nevertheless emerge in
many disciplines of science. The aim of this paper
is to analyze examples using cellular automata
model to depict this property’s existence in the
world that human perceive. |
Traffic Flow Simulation
by
Henry Jiang
|
This
paper describes traffic flow simulation using
cellular automata. The cellular automata simulation
is driven according to the local rule. which is
defined as the local relationship between the
neighboring cells.
|
Financial Markets
by Tan Ma
|
This
paper describes Financial Market simulation using
Cellular Automata and the origin of its randomness
. In this paper the author have given the simplest
rule of cellular automata to the complicate rules
for Financial System. cells.
|
Networks and Space
by
Christine Meyer
|
Describes
characteristics of networks with each node having
2 connections. Comparison between networks and
space. Can networks be represented with the same
characteristics as space?
|
Cellular Automata Models of Crystals
by Gauri Nadkarni
|
This paper describes some of the cellular automata
models created for simulating crystal growth like
the Packard's CA model and a 3D CA model of free
dendritic growth. It also describes different
kinds of crystals, their formation, and different
patterns produced, specifically the snow crystals.
|
Natural Selection and CAs
by Baohoi Nguyen
|
This
paper explores the concepts of natural selection
and CAs. The views of Darwin are discussed. Then
we further elaborate on the idea of natural selection
with Wolfram's ideology of natural selection and
its correlation with CAs.
|
Reversible Cellular Automata
by
Kwanghyun Paek
|
According
to the Second Law of Thermodynamics, the entropy
-a measure of the disorder in a system- should
increase in a reversible system as the system
evolves. While most 1D CA follow this law, Wolfram
presented Rule 37R as a counter example. Despite
of its reversibility, Rule 37R does not increase
randomness, nor does it show simple predictable
behavior; it continues to fluctuate. Does it explain
how the universe becomes progressively more organized?
|
Self Reproducing Cellular Automata and Programs
by Shruti Parihar
|
This
paper is about Self Reproducing Cellular Automata,
in particular the Artificial Life project. It
sheds light on contributions by Von Neumann and
Langton. Self Reproducing Machines like those
proposed by NASA are also discussed.
|
Developing
a New Kind of Science Website as a Software
Projects Course
by Rudy Rucker
|
Describes
how Professor Rucker got his students to create
the NKS-SJSU website as a class project for his
Spring, 2003, graduate Software Projects course
in the CS Department at San Jose State University.
Includes course syllabus. |
Ecological Simulations
by Rukman Senanayake
|
This paper discusses
the usage of Cellular Automata for ecological
modeling in modern research. CAs have been used
in many areas of ecological systems simulations
such as gap dynamics, invasive spread behaviors
and spatial competition among species. The paper
discusses major areas of research within this
field as well as how CA are being coupled to other
techniques (Such as GIS and Petri Nets) to better
suit the task of ecological system simulation.
|
Digital Signal Processing, Cellular Automata,
and Parallelism
by Karl Schramm
|
This paper compares digital signal processors with cellular automata and explores a possible link between the two. The emphasis of the comparison is centered on the parallel nature of both devices. For digital signal processing, parallelism is discussed with regards to hardware as well as software. Additionally a brief overview of digital signal processing is provided. Topics covered in this overview include analog to digital signal conversion, sampling, superposition, decomposition, Fourier transformation, sinusoidal fidelity, and linearity.
|
Biological Pigmentation Patterns
and Reaction Diffusion Cellular Automata
by Min Yang
|
In 1952,
Alan Turing published a paper, The Chemical
Basis of Morphogenesis. In this paper, he
considered a "ring" of identical cells containing
various chemical substances, called morphogens,
and the patterns result from interactions between
these morphogens that diffuse in the medium and
enter into chemical reactions with each other.
This model is like a cellular automaton. My research
paper will explain his work and other scientists'
following research.
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