Results 51 to 60 of about 1,435 (73)

Towards a Hybrid Architecture for Self-Adaptive and Self-Organizing Systems

2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)
In multi-agent systems, control can either be initiated from a central coordination unit, or each agent decides on its own about its next adaptation step to adjust to changes in the dynamic environment.
Pia Schweizer, Jonas Lange, Elia Henrichs, Sven Tomforde, Christian Krupitzer   +4 more
semanticscholar   +1 more source

Active Inference for Self-Organizing Multi-LLM Systems: A Bayesian Thermodynamic Approach to Adaptation

arXiv.org
This paper introduces a novel approach to creating adaptive language agents by integrating active inference with large language models (LLMs). While LLMs demonstrate remarkable capabilities, their reliance on static prompts limits adaptation to new ...
Rithvik Prakki
semanticscholar   +1 more source

Enhancing nonlinear system stability through decomposed fuzzy control and high-order sliding mode with self-organizing techniques

Physica Scripta
This paper proposes a self-organizing decomposed interval type-2 fuzzy high-order sliding-mode controller (SOA-T2FDHOS) for robust control of nonlinear systems.
V. Ngo, Tien-Loc Le
semanticscholar   +1 more source

Nash Equilibrium-Driven Adaptive Behavior in Swarm Intelligence with Self-Organizing Maps

Journal of Information Systems Engineering & Management
This paper proposes a swarm intelligence model that employs classical boidflocking dynamics combined with non-cooperative game-theoretic methods, specifically Nash Equilibrium, to simulate adaptive decision-making in multi-agent systems.
Iftekher S Chowdhury, Hardique Dasore, B. Akhouri, Eric Howard   +3 more
semanticscholar   +1 more source

Self-organizing Nervous Systems for Robot Swarms

Sci. Robotics
We present the self-organizing nervous system (SoNS), a robot swarm architecture based on self-organized hierarchy. The SoNS approach enables robots to autonomously establish, maintain, and reconfigure dynamic multilevel system architectures. For example,
Weixu Zhu, Sinan Oğuz, Mary Katherine Heinrich, Michael Allwright, Mostafa Wahby, Anders Lyhne Christensen, Emanuele Garone, Marco Dorigo   +7 more
semanticscholar   +1 more source

Self-organizing control for unmanned ground vehicles

Security + Defence
The process of Self-organisation (SO) is pervasive in nature, being observed across physical, biological, chemical, social, as well as technological systems.
Ruben Fransen, Marijn v. Adrichem, Hannah Onverwagt, H. Hildmann   +3 more
semanticscholar   +1 more source

A Resilient and Energy-Efficient Smart Metering Infrastructure Utilizing a Self-Organizing UAV Swarm

arXiv.org
The smart metering infrastructure may become one of the key elements in efficiently managing energy in smart cities. At the same time, traditional measurement record collection is performed by manual methods, which raises cost, safety, and accuracy ...
Mustafa Siham, Q. I. Ali
semanticscholar   +1 more source

Fast Sensitivity-Analysis-Based Online Self-Organizing Broad Learning System

IEEE Transactions on Industrial Informatics
Modern industrial process modeling requires models to adapt quickly to real-time operating conditions. To this end, this article proposes a fast sensitivity analysis (SA)-based self-organizing broad learning system (SASO-BLS) that offers a paradigm for ...
Ling Yi, Jinliang Ding, Changxin Liu, Tianyou Chai   +3 more
semanticscholar   +1 more source

Self-Organizing Graph Reasoning Evolves into a Critical State for Continuous Discovery Through Structural-Semantic Dynamics

Chaos
We report fundamental insights into how agentic graph reasoning systems spontaneously evolve toward a critical state that sustains continuous semantic discovery.
Markus J. Buehler
semanticscholar   +1 more source

In‐Memory Euclidean Distance Computation in a Stacked Memristor Crossbar for Hardware Self‐Organizing Maps

Advanced Functional Materials
Self‐organizing maps (SOMs) are widely used for visualizing and clustering high‐dimensional data, yet their efficient hardware realization has remained challenging because Euclidean distance (ED) computations are difficult to implement directly within ...
Jinwoo Park, H. Kim
semanticscholar   +1 more source