Archive for the ‘Artificial Intelligence’ Category

The Virtual Autonomous Learner: An Introduction

Tuesday, October 26th, 2010

virtual autonomous learner

This post, an introduction to my thesis topic, a virtual autonomous learner or VAL for short, is aimed at a general audience. Though, I am sure anyone with research interest in: evolution, ecology, artificial intelligence, neuroscience, artificial neural networks, education, virtual simulation, computation, and all things related to the body and the mind, especially embodied cognition, would find this post interesting.

For those of you with short attention spans like myself, I offer you this quick and simple explanation of what VAL is:

virtual autonomous learner = artificial intelligence.

Simple, right? However, if you stick around I will explain why this equation is not really true. And, in fact, VAL is not AI – it’s something new.

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A Cognitive Architecture Primer

Saturday, October 9th, 2010

Cognitive ArchitectureThe expression cognitive architecture, like the name implies, is an architecture of cognition. Cognition, in this context, refers to any thought process (i.e., perception, memory, learning or language). Architecture, also in this context, can be seen as a computational blueprint or computation model, the blueprint being a diagram which lays out the framework of computational construction (set of rules to follow). Basically, a blueprint gives all the information one needs in order to build the structure, in this case a cognitive task. In this sense, a cognitive architecture is a metaphorical blueprint that illustrates the essential structures and relationships of different components that make up how we think. Hence, for the purpose of this post, a cognitive architecture is any theoretical or practical system that attempts to explain or simulate the broad range of human thought processes.

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The Inception of the Virtual Autonomous Learner (VAL)

Thursday, September 30th, 2010

Inception of VALThe inception of VAL was conceived in an advanced reading class where I studied the current state of artificial intelligence (AI). The background research involved in this project was heavily interdisciplinary. Some of the major research areas were evolution, evolutionary psychology, experimental psychology, neurology, ecology, learning theories, educational technologies, computation, simulation, computational neural modeling, early child development, cognition, linguistics, computer science, and philosophies like Theory of Mind. Much of my research led to experimental psychology and the field of computational neural modeling and cognitive architectures.

In the beginning, I was overwhelmed and astonished with the variety of cognitive architectures that were currently being developed within reputable institutions1.

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  1. See A Cognitive Architecture Primer for a short list

A Cognitive Designer’s Research Blog

Thursday, September 23rd, 2010

Welcome to the Cognitive Designer’s blog; the research blog of Lexx Lazerman.

This is my first post. Things are not quite set up yet but you can check out the Author & Research; page to see if this blog is for you, or just register and I will send you an email when this site is fully operational. Feel free to post a comment.

Have a great day,

Lexx

🙂