The GLAIR Cognitive Architecture

Authors Stuart C. Shapiro, Jonathan P. Bona



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Stuart C. Shapiro
Jonathan P. Bona

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Stuart C. Shapiro and Jonathan P. Bona. The GLAIR Cognitive Architecture. In Cognitive Robotics. Dagstuhl Seminar Proceedings, Volume 10081, pp. 1-12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010) https://doi.org/10.4230/DagSemProc.10081.17

Abstract

GLAIR (Grounded Layered Architecture with Integrated
Reasoning) is a multi-layered cognitive architecture for embodied
agents operating in real, virtual, or simulated environments
containing other agents. The highest layer of the
GLAIR Architecture, the Knowledge Layer (KL), contains
the beliefs of the agent, and is the layer in which conscious
reasoning, planning, and act selection is performed. The lowest
layer of the GLAIR Architecture, the Sensori-Actuator
Layer (SAL), contains the controllers of the sensors and effectors
of the hardware or software robot. Between the KL
and the SAL is the Perceptuo-Motor Layer (PML), which
grounds the KL symbols in perceptual structures and subconscious
actions, contains various registers for providing the
agent’s sense of situatedness in the environment, and handles
translation and communication between the KL and the
SAL. The motivation for the development of GLAIR has been
“Computational Philosophy”, the computational understanding
and implementation of human-level intelligent behavior
without necessarily being bound by the actual implementation
of the human mind. Nevertheless, the approach has been
inspired by human psychology and biology.

Subject Classification

Keywords
  • Cognitive Robotics
  • Cognitive Architectures
  • Embodiment
  • Situatedness
  • Symbol Grounding

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