Exploration of simple graphs by a collective of agents

The article addresses the problem of exploring simple undirected graphs using a multi-agent system consisting of two agents: an agent-researcher, which can traverse the graph, read and modify the labels of its elements, and exchange information with the second agent – an agent-experimenter, which constructs a map of the explored graph in its memory in the form of edge and node lists. An algorithm is proposed with quadratic time, space, and communication complexities (with respect to the number of nodes in the graph). The upper estimate of the number of transitions along the edges made by the agent-researcher is estimated as O(n2). The algorithm operates using one color and one stone. An algorithm is based on depth-first traversal method.

Authors

Publication Details

Journal
Mathematical Modeling and Computing
Published
2025-01-01
DOI
https://doi.org/10.23939/mmc2025.02.603
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploration of simple graphs by a collective of agents

A.V. Stopkin
Mathematical Modeling and Computing
Optimization and Search Problems
article

Exploration of simple graphs by a collective of agents

A.V. Stopkin
article en

Abstract

The article addresses the problem of exploring simple undirected graphs using a multi-agent system consisting of two agents: an agent-researcher, which can traverse the graph, read and modify the labels of its elements, and exchange information with the second agent – an agent-experimenter, which constructs a map of the explored graph in its memory in the form of edge and node lists. An algorithm is proposed with quadratic time, space, and communication complexities (with respect to the number of nodes in the graph). The upper estimate of the number of transitions along the edges made by the agent-researcher is estimated as O(n2). The algorithm operates using one color and one stone. An algorithm is based on depth-first traversal method.

Mathematical Modeling and ComputingVol. 12(2)
Openalex Percentile: Top 84%
Optimization and Search Problems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.