Cognition & Emotion · 2003 · 145 citations · 0 references
Life SciencesEvolutionary BiologyNeuroscienceCognitive NeuroscienceComputational NeuroscienceEvolutionary PsychologyCognitive ModelingEvolutionary ComputationSensory PerceptionSensory ProcessingSensory System ModelingSensory SystemsComputational Models Of Sensory ProcessingComputational Theories Of MindEmergent PropertiesNeural Circuit ArchitectureSensory Discrimination
Most cognitive scientists regard the brain as a general‑purpose computer, treating conscious feelings such as pleasure as nonfunctional, whereas evolutionary functionalism sees them as evolved emergent properties of biological tissue. The paper argues that computational theories of mind rest on a false premise that the external world is composed of sensory‑detectable elements. Natural selection has favored conscious experiences that evaluate biologically relevant aspects of the physical and social world. The functional usefulness of these emergent properties has driven the evolution of the neural architecture that supports them.
Abstract Currently, most cognitive scientists view the brain as a general-purpose computer and the processes of mind as software algorithms running on this neural architecture. From this perspective, conscious feelings, like pleasure, play no functional role in controlling human behaviour. This paper proposes that such computational theories are based on a false premise; namely, that the external world is full of light, sounds, smells, and tastes that can be detected through our senses. An alternative viewpoint, evolutionary functionalism, considers the world to be composed of energy/matter and views conscious experiences, like pleasure, as evolved emergent properties of biological tissue. From this perspective, natural selection has favoured conscious experiences that serve as evaluations of (feelings), or discriminations among (sensations) those aspects of the physical and social world that are biologically relevant. Over generations, it is the functional usefulness of these emergent properties that has shaped the neural architecture that underlies them.