Below are a number of videos, lectures, and papers that explain Institute for Augmenting Mind’s efforts to better understand self-adaptive systems. One example of such a system is cognition. IforAM has defined a technology called SOARSE(tm), whose development will contribute to a better understanding of mind while building practical technologies for many real world applications.

Page Contents
(click on links below to access sections directly)
Introduction to IforAM and SOARSE Technology
SOARSE Fundamentals: Self-organization and Cognition
IforAM: The Institute
SOASE: The Technology
Publications: Papers, Posters, and Articles

Introduction to IforAM and SOARSE Technology

This first video is an introduction to both IforAM and SOARSE technology. It’s also an invitation to groups and individuals interested in being a part of the future of computation.

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A presentation of Synthetic Cognition by Augustus Bacigalupi to the Bay Area Meetup group on March 25, 2012. Presentation hosted and filmed by Monica Anderson, organizer of the AI Meetup group.

Synthetic Cognition from Monica Anderson on Vimeo.

Please comment by emailing or commenting under video on Vimeo site here Synthetic Cognition.

A brief presentation titled Refinement; A Rigorous Description of Autonomous Adaptive Agents by Augustus Bacigalupi at the 2012 joint conference of the American Society for Cybernetics and Bateson Idea Group on July 11, 2012. It summarizes the theory that will be used to empirically test for cognitive behavior in synthetic systems.

Please comment by emailing or commenting under video on YouTube site here Refinement.

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SOARSE Fundamentals: Self-organizing Systems and Cognition

The following series of three videos illustrates in more depth the concepts introduced in the introductory video above. These concepts are central to understanding self-organization, in general, and cognition, in particular. The following short videos also provide a solid foundation for understanding SOARSE(tm) technology.

video #1
The Difference Between
Digital and Neurons

This video describes how digital computation is fundamentally different from neuronal computation. This difference has significant implications for how we understand information, cognition, and the full gamut of computation. The next videos in this series will expand on these ideas to better understand the physical nature of digital and neuronal computation and how they can be integrated.

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video #2
Significance of
Computational Types

This video expands on why digital differs from neuronal computation. It further illustrates how Self-organizing systems, such as the embodied brain, constitute a unique type of computation distinct from our more familiar mechanical, or Functional, types of computation; of which “digital” is an example. The central distinction between these computational types – namely, superposition – is presented in order to provide the foundation for the next video. The next video in this series will illustrate how superposition facilitates Self-organizing computation, of which cognition is an example.

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video #3
Self-organization and Cognition

This video will expand on video #2 to describe further the nature of self-organizing systems and how it is relevant to cognition. This video lays the groundwork for understanding IforAM’s technology, SOARSE. SOARSE will synthetically realize self-organization by implementing the strengths of both digital and neuronal strategies into a hybrid form of computation with innumerable applications.

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