The GLAIR Cognitive Architecture

نویسندگان

  • Stuart C. Shapiro
  • Jonathan P. Bona
چکیده

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.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Behavior Based Ai, Cognitive Processes, and Emergent Behaviors in Autonomous Agents

Behavior based AI Brooks, 1990, Maes, 1990] has questioned the need for modeling intelligent agency using generalized cognitive modules for perception and behavior generation. Behavior based AI has demonstrated successful interactions in unpredictable environments in the mobile robot domain Brooks, 1985, Brooks, 1990]. This has created a gulf between \traditional" approaches to modeling intelli...

متن کامل

Behavior Based AI , Cognitive Processes , and Emergent Behaviors

Behavior based AI Brooks, 1990, Maes, 1990] has questioned the need for modeling intelligent agency using generalized cognitive modules for perception and behavior generation. Behavior based AI has demonstrated successful interactions in unpredictable environments in the mobile robot domain Brooks, 1985, Brooks, 1990]. This has created a gulf between \traditional" approaches to modeling intelli...

متن کامل

Anchoring in a grounded layered architecture with integrated reasoning

The GLAIR grounded layered architecture with integrated reasoning for cognitive robots and intelligent autonomous agents has been used in a series of projects in which Cassie, the SNePS cognitive agent, has been incorporated into hardwareor software-simulated cognitive robots. In this paper, we present an informal, but coherent, overview of the GLAIR approach to anchoring the abstract symbolic ...

متن کامل

A Layered Heterogeneous Cognitive Robotics Architecture

The snarpy cognitive robotics architecture is a new member of the family of GLAIR architectures that performs grounded reasoning and action on real and simulated robots. We employ the SNePS knowledge representation, reasoning, and acting system and the Pyro robotics toolkit. We describe the architecture together with the methodologies used to realize it. With the snarpy architecture, robotic ag...

متن کامل

Crystal Cassie: Use of a 3-D Gaming Environment for a Cognitive Agent

The SNePS research group has built several implementations of an embodied computational cognitive agent called Cassie, based on the Grounded Layered Architecture with Integrated Reasoning (GLAIR). In this document we describe a new implementation, in which Cassie’s body and the world are simulated in Crystal Space, an environment for building 3-D games. We describe the implementation of Cassie ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009