Biologically Inspired Cognitive Architectures: Papers from the AAAI Fall Symposium
Alexei V. Samsonovich, Chair
This symposium focused on the challenge of creating a computational equivalent of the human mind in its higher cognitive abilities. This fundamental scientific task calls for the design and experimental study of biologically inspired cognitive architectures (BICA), including those capable of human-like cognitive growth. The primary objective of the symposium was to showcase recent modeling and rapid prototyping experience aimed at building architectures of cognitive agents that have been inspired by the human brain and, in a definite sense, operate like the human mind. At the same time, theoretical discussion of the underlying mechanisms is equally encouraged. Topics of the program included cognitive architectures describing the human brain-mind at a computational level; models of human-like learning, meta-learning, the self and self-awareness; educational practice of self-regulated learning as a source of inspirations for BICA; natural language acquisition and NLP-based learning: identifying the critical mass of capabilities that enables cognitive growth; developing systems of values and human-level emotional intelligence in artifacts; bridging the gap between biological and computational systems in robustness, flexibility, integration and humanlike learning abilities; vital biological constraints informed by neuroscience and their computational leverage in embodied cognition; and large-scale computational BICA projects and their future real-world applications.