Multi-Agent Approach to the Self-Organization of Networks

TL;DR

This paper explores a multi-agent model for self-organizing networks where nodes form links without prior positional info, through co-evolving processes of information generation and network formation based on agent interactions.

Contribution

It introduces a novel multi-agent framework that enables simultaneous development of positional information and network links via indirect communication and evolutionary dynamics.

Findings

Agents can self-organize networks without preexisting positional data

Information and network structure co-evolve in the model

The approach demonstrates emergent network formation through agent interactions

Abstract

Is it possible to link a set of nodes without using preexisting positional information or any kind of long-range attraction of the nodes? Can the process of generating positional information, i.e. the detection of ``unknown'' nodes and the estabishment of chemical gradients, \emph{and} the process of network formation, i.e. the establishment of links between nodes, occur in parallel, on a comparable time scale, as a process of co-evolution? The paper discusses a model where the generation of relevant information for establishing the links between nodes results from the interaction of many \emph{agents}, i.e. subunits of the system that are capable of performing some activities. Their collective interaction is based on (indirect) communication, which also includes memory effects and the dissemination of information in the system. The relevant (``pragmatic'') information that leads to the establishment of the links then emerges from an evolutionary interplay of selection and reamplification.