The Holon System: Artificial General Intelligence as ‘Work on Command’

Recent interest in the ‘Large Language Models’ of deep learning has led to widespread conjecture that artificial general intelligence (AGI) is thereby imminent. At the other end of the spectrum, it has also been claimed that ‘general’ intelligence cannot exist at all. In this extended abstract, we argue that both of these perspectives are misconceived. We provide a pragmatic definition of general intelligence, grounded in fundamental business and engineering requirements. We explain why a ‘deployed regression model’ (such as deep learning) cannot meet this criterion for generality of intelligence. We then proceed to describe the Holon system, designed and implemented to meet this criterion.

[1]  B. Hammer,et al.  Reservoir Memory Machines as Neural Computers , 2020, IEEE Transactions on Neural Networks and Learning Systems.

[2]  Jürgen Schmidhuber,et al.  Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control , 2019, ICLR.

[3]  Jörg Franke,et al.  Robust and Scalable Differentiable Neural Computer for Question Answering , 2018, QA@ACL.

[4]  Vishwanathan Mohan,et al.  Goal-Directed Reasoning and Cooperation in Robots in Shared Workspaces: an Internal Simulation Based Neural Framework , 2018, Cognitive Computation.

[5]  Vishwanathan Mohan,et al.  Goal-Directed Reasoning and Cooperation in Robots in Shared Workspaces: an Internal Simulation Based Neural Framework , 2018, Cognitive Computation.

[6]  Eiji Hoshi,et al.  Information seeking and simulation: Roles of attention in guiding a goal-directed behavior , 2017, bioRxiv.

[7]  Jürgen Schmidhuber,et al.  Anytime Bounded Rationality , 2015, AGI.

[8]  Jürgen Schmidhuber,et al.  Resource-Bounded Machines are Motivated to be Effective, Efficient, and Curious , 2013, AGI.

[9]  Pei Wang,et al.  Embodiment: Does a laptop have a body? , 2009 .

[10]  Michel D. Ingham,et al.  Generating requirements for complex embedded systems using State Analysis , 2006 .

[11]  Rodney A. Brooks,et al.  Elephants don't play chess , 1990, Robotics Auton. Syst..

[12]  René Thom,et al.  Structural stability and morphogenesis - an outline of a general theory of models , 1977, Advanced book classics.

[13]  R. Swinburne.  OBJECTIVE KNOWLEDGE: AN EVOLUTIONARY APPROACH , 1973 .

[14]  Richard Fikes,et al.  STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving , 1971, IJCAI.

[15]  K. Popper,et al.  Conjectures and refutations;: The growth of scientific knowledge , 1972 .

[16]  K. Thórisson.  The "Explanation Hypothesis" in General Self-Supervised Learning , 2021, IWSSL.

[17]  Dominic R. Verity,et al.  ∞-Categories for the Working Mathematician , 2018 .

[18]  Howard Hunt Pattee,et al.  Evolving Self-reference: Matter, Symbols, and Semantic Closure , 2012 .