Scientific Concept of Emergent computation
Emergent Computation is a new and exciting concept that scientists in many areas are using not only to
develop unique insight into complex systems, they are beginning to develop new technologies and computer
algorithms never before thought possible.
Definition: Emergent Computation is computation that takes advantage of the self-organizing, cooperative
phenomena arising out of the interaction of a group of units obeying global laws but processing information at
the unit level which determine group decision. It is the study of how high-level representation and information
processing can emerge from the interactions of large numbers of simple processors.
Many systems in the natural world show a complex collective processing of information that emerges from
individual actions which interact through restricted simple communication pathways, but can be merged and
coordinated into an intelligent meaningful system.
Global coordination emerges from information collected from a decentralized group of components, and
transfers back information useful to the functioning of the decentralized parts, while no central command
actually exists.
An example in nature is the communication between bees which results in group decision-making based on
information provided by each bee, and no central information processing command center exists and
therefore, cannot be disabled or destroyed.
In most systems if the centralized coordinating processor is somehow disabled, the entire system is lost. Not in
our system because each surviving part can function without a centralized information processor.
Our concept is of a collection of individual components, each with groupings of localized interaction, spaced
around each community that come together to provide a unique global intercommunication that actually has no
central processor and that each part artificially forms global communication that can function even is many
parts are disabled.
Global communication is enabled through the transfer and interaction of useful information processing
between parts, which like bee communication, forms an artificial command post that processes information
from each bee, makes meaningful conclusions and sends out commands to the parts.
An intercommunication between the localized parts forms a temporary, imaginary command post, which could
not be disabled because it existed because of its parts. All parts would need to be disabled to stop this kind of
communication. If many parts remained functional, the command post still functions.
The information gleaned from each part can then be processed to become meaningful and therefore useful for
the existence of the global system, and for the production of meaningful information that can be made
available for the benefit of each localized unit.
REFERENCES
Research Article 1
A simple evolutionary process can discover sophisticated methods for emergent information processing in
decentralized spatially extended systems
Research Article 2
Research in complex systems and network thinking.
Research Article 3
Dynamics of information and emergent computation in generic neural microcircuit models.
Research Article 4
Uses emergent computation for new computational intelligence model.
Research Article 6
Research uses emergent computation for coupling an ordinary differential equation system in scale transfer
modeling.
Emergent Computation is a new and exciting concept that scientists in many areas are using not only to
develop unique insight into complex systems, they are beginning to develop new technologies and computer
algorithms never before thought possible.
Definition: Emergent Computation is computation that takes advantage of the self-organizing, cooperative
phenomena arising out of the interaction of a group of units obeying global laws but processing information at
the unit level which determine group decision. It is the study of how high-level representation and information
processing can emerge from the interactions of large numbers of simple processors.
Many systems in the natural world show a complex collective processing of information that emerges from
individual actions which interact through restricted simple communication pathways, but can be merged and
coordinated into an intelligent meaningful system.
Global coordination emerges from information collected from a decentralized group of components, and
transfers back information useful to the functioning of the decentralized parts, while no central command
actually exists.
An example in nature is the communication between bees which results in group decision-making based on
information provided by each bee, and no central information processing command center exists and
therefore, cannot be disabled or destroyed.
In most systems if the centralized coordinating processor is somehow disabled, the entire system is lost. Not in
our system because each surviving part can function without a centralized information processor.
Our concept is of a collection of individual components, each with groupings of localized interaction, spaced
around each community that come together to provide a unique global intercommunication that actually has no
central processor and that each part artificially forms global communication that can function even is many
parts are disabled.
Global communication is enabled through the transfer and interaction of useful information processing
between parts, which like bee communication, forms an artificial command post that processes information
from each bee, makes meaningful conclusions and sends out commands to the parts.
An intercommunication between the localized parts forms a temporary, imaginary command post, which could
not be disabled because it existed because of its parts. All parts would need to be disabled to stop this kind of
communication. If many parts remained functional, the command post still functions.
The information gleaned from each part can then be processed to become meaningful and therefore useful for
the existence of the global system, and for the production of meaningful information that can be made
available for the benefit of each localized unit.
REFERENCES
Research Article 1
A simple evolutionary process can discover sophisticated methods for emergent information processing in
decentralized spatially extended systems
Research Article 2
Research in complex systems and network thinking.
Research Article 3
Dynamics of information and emergent computation in generic neural microcircuit models.
Research Article 4
Uses emergent computation for new computational intelligence model.
Research Article 6
Research uses emergent computation for coupling an ordinary differential equation system in scale transfer
modeling.
