PSYCHOLOGICAL ALIFE: BRIDGING THE GAP BETWEEN MIND AND BRAIN. ENACTIVE DISTRIBUTED ASSOCIATIONISM TRANSIENT LOCALISM

摘要

Enactive Distributed Associationism (EDA) is a simple and general purpose approach to the modeling of developmental learning, requiring no explicit supervision, specialization, or any artificially imparted symbolic base. These biologically plausible models implement unsupervised self-organization and exhibit ongoing classical conditioning leading to successful environmental adaptation in complex real environments. Producing multiple psychological phenomena, this approach is highly appropriate for cumulative cognitive modeling, especially where complex ontogenetically developing traits are to be modeled (such as phobic responses). Unlike many Artificial Life models, EDA provides a high level of interpretability and an understanding of the structures developed in relation to their formal psychological properties. This cognitive penetrability combines Transient Localism with an analogy to the localist symbolic networks to form an approach that is free from any assumptions regarding what is to be modeled.