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Updated: Jul 4, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

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Published on: January 19, 2019

Characterizing game dynamics in two-player strategy games using network motifs.

Ayman Ghoneim1, Hussein Abbass, Michael Barlow

  • 1School of Information Technology and Electrical Engineering, University of New South Wales at theAustralian Defence Force Academy, Canberra, ACT 2600, Australia. a.ghoneim@adfa.edu.au

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|June 19, 2008
PubMed
Summary
This summary is machine-generated.

Network motifs, small graph structures, reveal unique signatures in deterministic strategy games. These game-specific footprints remain consistent, aiding in game classification and understanding system dynamics.

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Area of Science:

  • Complex Systems Analysis
  • Network Science
  • Game Theory

Background:

  • Complex systems are often modeled as networks, with nodes representing entities and arcs representing relationships.
  • Network motifs, small recurring subgraphs, are used to characterize system-level features by analyzing local structures.
  • Previous research suggested motif frequency variations are due to system evolution.

Purpose of the Study:

  • To investigate if strategy games exhibit unique network motif signatures.
  • To determine if these signatures are maintained throughout game evolution.
  • To establish network motifs as a tool for classifying deterministic strategy games.

Main Methods:

  • Analysis of network structures within deterministic strategy games.
  • Quantification and comparison of network motif frequencies across different game types.
  • Tracking motif signatures over the evolutionary path of games.

Main Results:

  • Each deterministic strategy game possesses a unique network motif signature.
  • This motif signature remains consistent during the game's evolutionary process.
  • Network motif counts serve as reliable identifiers for classifying game types.

Conclusions:

  • Network motif analysis provides a novel method for recognizing and classifying deterministic strategy games.
  • The consistent motif signatures offer insights into the intrinsic dynamics of different game types.
  • Findings have implications for cybernetics and the study of complex adaptive systems.