Neuronal perceptionsParallel signals with multiple modes are difficult to represent in context without a highly parallelized
This page discusses the interdependence of perception and representation in a complex adaptive system (CAS). Hofstadter and Mitchell's research with Copycat is reviewed.perception and representation structure such as a neuron, specialized eukaryotic cells include channels which control flows of sodium and potassium ions across the massively extended cell membrane supporting an electro-chemical wave which is then converted into an outgoing chemical signal transmission from synapses which target nearby neuron or muscle cell receptors. Neurons are supported by glial cells. Neurons include a:
This page discusses the effect of the network on the agents participating in a complex adaptive system (CAS). Small world and scale free networks are considered.network like the brain. A
This page describes a schematic system about abstracted neurons operating in a circuit.neuron was modeled by an adaptive web framework (AWF) test infrastructure (
The neuronal system was designed to focus in on the cellular nature of a schematically defined neuron.
The goals include:
The codelets and infrastructure are included.
This page describes the Adaptive Web framework (AWF) test system and the agent programming framework (Smiley) that supports its operation.Smiley)
Example test system statements are included. To begin a test a test statement is loaded into Smiley while Smiley executes on the Perl interpreter.
Part of Smiley's Perl code focused on setting up the infrastructure is included bellow.
The setup includes:
Plans emerge in complex adaptive systems (CAS) to provide the instructions that agents use to perform actions. The component architecture and structure of the plans is reviewed.schematic application. Deploying a network of such model neurons could provide a computer modeling workbench for supporting experimental neuroscience. The goals included:
The analysis and early implementation work are proceeding. However, the priority of this work is set lower than the mutation leverage project.
Flows of different kinds are essential to the operation of complex adaptive systems (CAS).Flows and control, Production function,
Example flows are outlined. Constraints on flows support the emergence of the systems. Examples of constraints are discussed.
Representing state in emergent entities is essential but difficult. Various structures are used to enhance the rate and scope of state transitions. Examples are discussed.Structurally enhanced state,
This page discusses the interdependence of perception and representation in a complex adaptive system (CAS). Hofstadter and Mitchell's research with Copycat is reviewed.Perception & representation,
Plans emerge in complex adaptive systems (CAS) to provide the instructions that agents use to perform actions. The component architecture and structure of the plans is reviewed.Genetic plans,
Walter Shewhart's iterative development process is found in many complex adaptive systems (CAS). The mechanism is reviewed and its value in coping with random events is explained.PDCA.