Reaction to Chaos Theory
Can our world be fully predicted? Maybe, maybe not. Even some deterministic systems are subject to chaos. Interestingly, that differentiates chaos from randomness, which is not sensitive to small errors or changes, although there are some similarities in the nature of the chaos and randomness.
To me, one of the major implications of chaos mainly lies in its contribution to the concept of complex systems. Chaotic systems, which are sensitive to initial conditions, form a major category of complex systems, although they do not fully represent the adaptation and non-linearity of complex systems.
Talking about complex systems, it is then natural to think of one of the popular approaches to study them—agent-based modeling (Bonabeau, 2002), which combines ideas from game theory, complex systems, emergence, computational sociology, multi agent systems, and evolutionary programming. With the focus on micro-level behaviors, agent-based models have the advantage over traditional equation-based analytic models on generating emergence of high-over patterns. Agent-based model will make a good candidate to simulate how minor changes in initial condition can changes in each agent/individual’s behavior and thus lead to an overhaul of the system outcome.
Reference:
Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences of the United States of America, 99, 7280-7287.
To me, one of the major implications of chaos mainly lies in its contribution to the concept of complex systems. Chaotic systems, which are sensitive to initial conditions, form a major category of complex systems, although they do not fully represent the adaptation and non-linearity of complex systems.
Talking about complex systems, it is then natural to think of one of the popular approaches to study them—agent-based modeling (Bonabeau, 2002), which combines ideas from game theory, complex systems, emergence, computational sociology, multi agent systems, and evolutionary programming. With the focus on micro-level behaviors, agent-based models have the advantage over traditional equation-based analytic models on generating emergence of high-over patterns. Agent-based model will make a good candidate to simulate how minor changes in initial condition can changes in each agent/individual’s behavior and thus lead to an overhaul of the system outcome.
Reference:
Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences of the United States of America, 99, 7280-7287.
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Yes, chaos has lead, almost directly, to the field of complex systems