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Special Issue of the Journal of Artificial General Intelligence
Brain Emulation and Connectomics, a convergence of Neuroscience and Artificial General Intelligence
Journal of Artificial General Intelligence, Volume 4, Issue 3 (Dec 2013)
Editors: Randal A. Koene and Diana Deca
CONTENTS
Page 1-9: Koene, Randal / Deca, Diana -- Editorial: Whole Brain Emulation seeks to Implement a Mind and its General Intelligence through System Identification
Page 10-43: Pissanetzky, Sergio / Lanzalaco, Felix -- Black-box Brain Experiments, Causal Mathematical Logic, and the Thermodynamics of Intelligence
Page 44-88: Lanzalaco, Felix / Pissanetzky, Sergio -- Causal Mathematical Logic as a guiding framework for the prediction of "Intelligence Signals" in brain simulations
Page 89-129: Seymour, Leslie G -- Declarative Consciousness for Reconstruction
Page 130-152: Eth, Daniel / Foust, Juan-Carlos / Whale, Brandon -- The Prospects of Whole Brain Emulation within the next Half-Century
Page 153-163: Alstott, Jeff -- Will We Hit a Wall? Forecasting Bottlenecks to Whole Brain Emulation Development
Page 164-169: Muzyka, Kamil -- The Outline of Personhood Law Regarding Artificial Intelligences and Emulated Human Entities
Page 170-194: Eckersley, Peter / Sandberg, Anders -- Is Brain Emulation Dangerous?
This issue is available through OPEN ACCESS.
The pre-print version of this Special Issue of JAGI is also available as a PDF file.
The Call for Papers
In recent years, Artificial General Intelligence (AGI) has emerged as a new field of research that resurrects the original goals of what had become known as Strong AI, in a well-defined and concrete formulation. AGI is distinguished from approaches that we may consider more narrowly focused (e.g. language translation, object recognition). The generality requirements of AGI resemble the integrated requirements of intelligent processing in animals in humans.
Another field, called Brain Emulation, emerged at about the same time. Its origins lie in the computational and neuroinformatics developments within neuroscience, especially with the recent enthusiasm surrounding efforts to extract human and other brain `connectomes'. Brain Emulation refers to the detailed modeling and reproduction of neurophysiology and neuroanatomy at a scale that allows reimplementation of the functions of the neural circuitry of a brain or portion of a brain. There are many ways in which Brain Emulation and Artificial General Intelligence converge and complement each other.
For this proposed special issue of the Journal of Artificial General Intelligence (JAGI), we are explicitly soliciting papers introducing, analyzing or comparing:
methods, technology or experiments that advance Brain Emulation;
specific ways that neuroscience ideas or results can be helpful to AGI;
or that AGI ideas, results or systems can be helpful to neuroscience.
We are casting the net fairly wide here, with a goal of contributing to the building of bridges between these two different disciplines, which have rather different languages and ways of thinking in spite of their closely related goals. Submit to us your creative ideas and integrative insights, please -- this is a chance to get plausible, well-argued science-grounded conjectures heard by an enthusiastic audience, as well as an appropriate venue for validated theories and results. The submission and review process will be managed according to the general policy of JAGI, except that the submissions to the special issue follow a given schedule:
Submission deadline: July 31, 2013
Acceptance notification: November 15, 2013
The special issue will be published at JAGI (http://www.versita.com/jagi) in 2013. Detailed author information for JAGI: http://jagi.mindmakers.org/index.php/jagi/information/authors
Special Issue Editors:
Randal Koene, NeuraLink Co. & carboncopies.org, USA
Diana Deca, IMPRS-LS, Germany
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