Fractally-organized Connectionist Networks: Conjectures and Preliminary Results
Vincenzo De Florio

TL;DR
This paper explores the idea that connectionist networks can be organized fractally to manage complexity effectively, potentially extending their application to complex domains like sociotechnical systems, with preliminary evidence from a telemonitoring software architecture.
Contribution
It introduces the concept of fractally organized connectionist networks as a means to encapsulate complexity and extend connectionism's applicability beyond simple networks.
Findings
Preliminary evidence from the design of a telemonitoring software architecture.
Fractal organization may enable connectionist networks to handle complex systems.
Supports the idea of relative simplicity over absolute simplicity in network design.
Abstract
A strict interpretation of connectionism mandates complex networks of simple components. The question here is, is this simplicity to be interpreted in absolute terms? I conjecture that absolute simplicity might not be an essential attribute of connectionism, and that it may be effectively exchanged with a requirement for relative simplicity, namely simplicity with respect to the current organizational level. In this paper I provide some elements to the analysis of the above question. In particular I conjecture that fractally organized connectionist networks may provide a convenient means to achive what Leibniz calls an "art of complication", namely an effective way to encapsulate complexity and practically extend the applicability of connectionism to domains such as sociotechnical system modeling and design. Preliminary evidence to my claim is brought by considering the design of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplex Network Analysis Techniques · Origins and Evolution of Life
