Modeling Artificial Life: A Cellular Automata Approach - Computational Intelligence Techniques for Comparative Genomics - page 72

Fig. 1 Feedback system

events which disclose the measure of uncertainty persisting with in the system.
Random events occurring in the biological world result in unexpected outputs.
During the ancient times, randomness was entangled with chance and fate. It is
based on superstition. Random mutation occurring in the organisms of the bio-
logical world change the organism genetic structure, create variations, and produce
unpredictable outcomes; the random walk algorithm [ 4 ] can be used to model all
forms of cultural activities which include ecological, economical, biological,
physical, and social activities; the central focus of the algorithm is systematic
generation of mathematical equations to create variation. It uses the concepts of
mathematics and physics to show object interactions. Randomness can be easily
understood and visualized in real time using the constructs of this algorithm, thus
giving the explorers an insight into the workings of a still unexplained phenome-
non; real-time environment is visualized and coded as objects, which represents the
entities of a program. Each object encapsulates the associated data and represents
the interactions with other objects while exchanging messages within the envi-
ronment. A class comprising of name, attributes, and methods encapsulates the
states and behavior of the objects. Interactivity between abject is performed using
message passing.
Ideas coming from life sciences and biological studies make use of creative
coding to model the real-time environment which helps in understanding the phe-
nomenon better. The coding constructs or frame rules are applied to generate
visualization model using variations. These are modeled phenomenon and cannot be
taken as the accurate stimulation of the phenomenon as no scienti c experiments are

being conducted. Feedback is a powerful process used in the construction of
generation which offer rich possibilities of variations; that is, the organisms which
grow, metabolize, reproduce, and respond to the activities within the environment is
not a simulation. It is a new realm comprising of its own logic, life forms, and
relational dynamics whose nature is entirely programmed and self-contained [ 5 ]. We
begin with a system where, an object is fed into the system

“ s ” and undergoes a

transformation or variation . The generated results are further fed back into the

same system. When the process is repeated over many iterations, the original form
changes potentially, leading to increasing complexity or change. Acquiring a little
degree of control over

“ t ”

also allows further variation to occur [ 2 ]; the programming
of feedback is equivalent to recursion which is a neat conceptual programming trick
(Fig. 1 ).

“ t ”