Behavioral and neural Darwinism: selectionist function and mechanism in adaptive behavior dynamics.

Area of Science:

• Neuroscience
• Evolutionary Biology
• Computational Biology

Background:

• Theories of behavior dynamics and neuronal group selection share a selectionist framework.
• Behavioral evolution theory models behavior selection by consequences, using Darwinian principles.
• Neuronal group selection theory proposes neural implementation mechanisms for evolutionary principles.

Purpose of the Study:

• To present a unified selectionist framework for adaptive behavior.
• To connect abstract evolutionary principles to neural mechanisms.
• To provide a comprehensive account of behavior from brain function to organismal actions.

Main Methods:

• Instantiating abstract evolutionary theory in virtual organisms to generate behavior.
• Implementing Darwinian principles (selection, reproduction, mutation) in computational models.
• Linking synaptic modification in neuronal groups to behavioral consequences via brain value systems.

Main Results:

• Behavior generated by the theory is quantitatively indistinguishable from live organisms.
• The framework integrates neural mechanisms with whole-organism behavior.
• A detailed, quantitative account of adaptive behavior is established.

Conclusions:

• The combined theories offer a comprehensive framework for understanding adaptive behavior.
• This framework extends from neural processes to the behavior of entire organisms.
• It provides a detailed, quantitative model bridging brain function and behavior.