BICA. Biologically Inspired Cognitive Architectures 2009

BICA. Biologically Inspired Cognitive Architectures 2009

AAAI 2008 Fall Symposium Series
Arlington, Virginia — 5–7 de Noviembre de 2009

El reto de diseñar un sistema capaz de aprender como un humane es de vital importancia para la creación de un sistema computacional equivalente a la mente humana. Este reto requiere el nivel de robustez y flexibilidad de aprendizaje que hoy sólo existe en los sistemas biológicos. Por lo tanto, es esencial que comprendamos mejor como a nivel computacional los sistemas biológicos desarrollan de formal natural sus funciones cognitivas y de aprendizaje. Recientemente las arquitecturas cognitivas de inspiración biológica (BICA) han emergido como un potente enfoque hacia la adquisición de este conocimiento. El éxito impresionante de BICA-2008 fue una clara prueba de esta tendencia. Como el segundo evento de esta serie, BICA 2009 continua con nuestro enfrentamiento a este reto, con una atmósfera de ilusión, potencial, compartición de ideas y colaboración.

Temas (en inglés)

– Bridging the gap between AI and biology: robustness, flexibility, integrity.
– BICA models of learning: bootstrapped, self-regulated (SRL), meta-learning.
– Scalability, limitations and ‘critical mass’ of cognitive vs. subcognitive learning.
– Biological constraints vital for learning.
– Physical support of conscious experience.
– Formal theory of cognitive architectures.
– Emotional feelings and values in artifacts.
– Measuring minds of machines and humans.

Symposium Focus and Spirit

The challenge addressed by this symposium is stated above. The narrow focus is on the idea to replicate in artifacts the phenomenon of natural cognitive growth (human-like learning and cognitive development), using models of learning borrowed from biology, neuroscience, cognitive / developmental psychology, cognitive linguistics, educational and social sciences. Specific tasks include: to identify critical components of human-like learning mechanisms that enable transformative cognitive growth in BICA; to understand at a computational level the leverage of biological constraints in self-regulated cognitive growth; to design curricula, tests and scalability metrics for artifacts and a roadmap to solving the challenge.

The spirit of the symposium is science (and, indeed, its focus is on a fundamental scientific problem). This symposium is not about the closed DARPA program or its successors, it is not a formal presentation event, not a publishing venue, not a funding opportunity forum, and not an industry teaming day (while all these elements may be present in it to some extent). It is a working seminar where researchers come together with new ideas and have a discussion.

Therefore, the majority of presentations will be short and exciting, while longer talks will be used to set the stage for discussion panels (see the Format section below).

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