Computational Power of a Single Oblivious Mobile Agent in Two-Edge-Connected Graphs
Taichi Inoue, Naoki Kitamura, Taisuke Izumi, Toshimitsu Masuzawa

TL;DR
This paper explores whether oblivious and one-bit memory mobile agents have equivalent computational power in 2-edge-connected graphs, showing that graph topology, specifically bridge edges, determines their difference in capability.
Contribution
The study demonstrates that in 2-edge-connected graphs, oblivious agents can simulate one-bit memory agents with polynomial time overhead, linking graph structure to agent computational power.
Findings
Oblivious agents can simulate one-bit memory agents with polynomial overhead.
Graph topology, especially the presence of bridge edges, determines the difference in computational power.
In 2-edge-connected graphs, oblivious and one-bit memory agents are computationally equivalent under certain conditions.
Abstract
We investigated the computational power of a single mobile agent in an -node graph with storage (i.e., node memory). Generally, a system with one-bit agent memory and -bit storage is as powerful as that with -bit agent memory and -bit storage. Thus, we focus on the difference between one-bit memory and oblivious (i.e., zero-bit memory) agents. Although their computational powers are not equivalent, all the known results exhibiting such a difference rely on the fact that oblivious agents cannot transfer any information from one side to the other across the bridge edge. Hence, our main question is as follows: Are the computational powers of one-bit memory and oblivious agents equivalent in 2-edge-connected graphs or not? The main contribution of this study is to answer this question under the relaxed assumption that each node has -bit storage (where…
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Taxonomy
TopicsOptimization and Search Problems · Advanced Graph Theory Research · Mobile Agent-Based Network Management
