Cognitive machinery and behaviours

Abstract

In this paper we propose to merge theories and principles explored in artificial intelligence and cognitive sciences into a reference architecture for human-level cognition or AGI. We describe a functional model of information processing systems inspired by several established theories: deep reinforcement learning mechanisms and grounded cognition theories from artificial intelligence research; dual-process theory from psychology; global-workspace theory, somatic markers hypothesis, and Hebbian theory from neurobiology; mind-body problem from philosophy. We use a formalism inspired by flow-graph and cybernetics representations. We called our proposed model IPSEL for Information Processing System with Emerging Logic. Its main assumption is on the emergence of a symbolic form of process from a connectionist activity guided by a self-generated evaluation signal. We also discuss artificial equivalents of concepts elaboration, common-sense and social interactions. This transdisciplinary work can be considered as a proposition for an artificial general intelligence design. It contains elements that will be implemented on further experiments. Its current aim is to be an analyzing tool for Human interactions with present and future artificial intelligence systems and a formal base for discussion of AGI features.