The Self-Organizing Symbiotic Agent
Babak Hodjat, Makoto Amamiya
Abstract
In [N. A. Baas, Emergence, Hierarchies, and Hyper-structures, in C.G. Langton ed., Artificial Life III, Addison Wesley, 1994.] a general framework for the study of Emergence and hyper-structure was presented. This approach is mostly concerned with the description of such systems. In this paper we will try to bring forth a different aspect of this model we feel will be useful in the engineering of agent based solutions, namely the symbiotic approach. In this approach a self-organizing method of dividing the more complex "main-problem" to a hyper-structure of "sub-problems" with the aim of reducing complexity is desired. A description of the general problem will be given along with some instances of related work. This paper is intended to serve as an introductory challenge for general solutions to the described problem.
Create a lesson
Related papers
naspaclust: A hybridisation of spatial fuzzy clustering with nature-inspired optimisation
Bahrul Ilmi Nasution, Rezzy Eko Caraka, Robert Kurniawan
CIPHEUR: LLM-Guided Structural Search Control for Conflict-Graph Optimization
Yuqing Cheng, Yan Jia, Yanjie Song et al.
Where Polanyi Meets Galois: Tacit Knowing as an Algebro-Deterministic Operation, Toward Re-rooting AI-Generated Science
Hiroyuki Chuma, Kanji Otsuka, Yoichi Sato et al.
CoFlu-Brain: An fMRI Connectivity Foundation Model with Cofluctuation-Based Pretraining
Ziteng Sui, Junfeng Xia, Wenhao Ye et al.
DyssomniaNN: Multi-Scale Spiking Neural Modeling of Human Sleep Disorders and Perceived Restedness
Daniel Szelogowski
REMBGO for Evaluation-Limited Optimization: CEC2022 Benchmarking and EAF-STATCOM Generalization
Vikram Chekuri, Narapareddy Ramarao, Prashanth N A