By B. Goertzel
The subject of this publication - the construction of software program courses showing vast, deep, human-style normal intelligence - is a grand and bold one. And but it truly is faraway from a frivolous one: what the papers during this book illustrate is that it's a healthy and correct topic for critical technological know-how and engineering exploration. not anyone has but created a software with human-style or (even approximately) human-level common intelligence - yet now we have a sufficiently wealthy highbrow toolkit that it truly is attainable to consider one of these threat intimately, and make critical makes an attempt at layout, research and engineering. threat intimately, and make severe makes an attempt at layout, research and engineering. this can be the placement that ended in the association of the 2006 AGIRI (Artificial basic Intelligence study Institute) workshop; and to the choice to put up a booklet from contributions by way of the audio system on the convention. the cloth awarded right here purely scratches the skin of the AGI-related R&D paintings that's happening around the globe at this second. however the editors are happy to have had the opportunity to be keen on organizing and featuring no less than a small percent of the modern progress.
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Additional info for Advances in artificial general intelligence: concepts, architectures and algorithms
The LIDA architecture implements precisely this function, as will become clear during the discussion of the LIDA cognitive cycle below. Finally, the LIDA architecture can be thought of a fleshing out and an implementation of Sloman’s architecture for a human-like agent . One can construct a concordance between most of the various modules and processes shown in Fig. 9 and corresponding modules and processes of the LIDA cognitive as shown in Fig. 10 below. Those that won’t fit in to such a concordance correspond to higher-level, multi-cyclic cognitive processes in LIDA (see Multi-cyclic Cognitive Processes below).
Minsky. The Society of Mind. Simon and Schuster, New York, 1985.  H. Nakashima. AI as complex information processing. Minds and machines, 9:57–80, 1999.  A. Newell and H. A. Simon. Computer science as empirical enquiry: Symbols and search. Communications of the ACM 19, 3:113–126, 1976.  D. Poole, A. Mackworth, and R. Goebel. Computational Intelligence: A logical approach. Oxford University Press, New York, NY, USA, 1998.  R. Schank. Where's the AI? AI magazine, 12(4):38–49, 1991.
25 Four Contemporary AGI Designs: a Comparative Treatment September 26, 2006 Stan FRANKLIN, Ben GOERTZEL, Alexei SAMSONOVICH, Pei WANG Introduction (by Ben Goertzel) During his talk at the AGI Workshop, Stan Franklin suggested that his LIDA architecture might fruitfully be considered not only as a specific AGI design, but also as a general framework within which to discuss and compare various AGI designs and approaches. With this in mind, following the workshop itself, I (Goertzel) formulated a list of simple questions intended to be pertinent to any AGI software design, mostly based on the conceptual framework presented in Stan Franklin’s workshop presentation (and represented in this volume by his article “A Foundational Architecture for Artificial General Intelligence”) with a couple additions and variations.
Advances in artificial general intelligence: concepts, architectures and algorithms by B. Goertzel