The Complex Adaptive Systems
Group at Iowa State defines complex adaptive systems as follows: Many
natural systems (e.g., brains, immune systems, ecologies, societies) and
increasingly, many artificial systems (parallel and distributed
computing systems, artificial intelligence systems, artificial neural
networks, evolutionary programs) are characterized by apparently complex
behaviors that emerge as a result of often nonlinear spatio-temporal
interactions among a large number of component systems at different
levels of organization. Consequently, researchers in a number of
disparate areas including computer science, artificial intelligence,
neural networks, cognitive science, computational economics,
mathematics, optimization, complexity theory, control systems, biology,
neuroscience, psychology, engineering, etc. have have begun to address,
through a combination of basic as well as applied, theoretical as well
as experimental research, analysis and synthesis of such systems.
-
Ant Colony Optimization
-
Ant Colony
Optimization (ACO) studies artificial systems that take inspiration from
the behavior of real ant colonies and which are used to solve discrete
optimization problems.
-
Santa Fe Institute
-
The Santa Fe Institute
is devoted to creating a new kind of scientific research community, one
emphasizing multi-disciplinary collaboration in pursuit of
understanding the common themes that arise in natural, artificial, and
social systems. The original home of complex adaptive systems research.
The institute "seeks to catalyze new collaborative, multidisciplinary
projects that break down the barriers between the traditional
disciplines, to spread its ideas and methodologies to other individuals
and encourage the practical applications of its results."
-
complex adaptive systems group at iowa state
-
In their own words
"Many natural systems (e.g., brains, immune systems, ecologies,
societies) and increasingly, many artificial systems (parallel and
distributed computing systems, artificial intelligence systems,
artificial neural networks, evolutionary programs) are characterized by
apparently complex behaviors that emerge as a result of often nonlinear
spatio-temporal interactions among a large number of component systems
at different levels of organization. Consequently, researchers in a
number of disparate areas including computer science, artificial
intelligence, neural networks, cognitive science, computational
economics, mathematics, optimization, complexity theory, control
systems, biology, neuroscience, psychology, engineering, etc. have have
begun to address, through a combination of basic as well as applied,
theoretical as well as experimental research, analysis and synthesis of
such systems."
-
agent-based computational economics
-
In their own words
"Agent-based computational economics (ACE) is the computational study of
economic processes modeled as dynamic systems of interacting agents.
Here "agent" refers broadly to a bundle of data and behavioral methods
representing an entity constituting part of a computationally
constructed world.
Examples of possible agents include individuals (e.g. consumers,
producers), social groupings (e.g. families, firms, communities,
government agencies), institutions (e.g. markets, regulatory systems),
biological entities (e.g. crops, livestock, forests), and physical
entities (e.g. infrastructure, weather, and geographical regions). Thus,
agents can range from active data-gathering decision makers with
sophisticated learning capabilities to passive world features with no
cognitive function. Moreover, agents can be composed of other agents,
permitting hierarchical constructions. "
-
manufacturing complexity network
-
The Universities of
Cambridge, Oxford, Durham, and Siman Fraser are co-ordinating an
international, inter-industry, inter-university, multi-disciplinary
research network which addresses the issue of complexity in
manufacturing organisations. This Network was established in 1998 and
was initially funded by UK's Engineering and Physical Council Research
Council (EPSRC).
|
