PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 25, 20260 citationsOpen Access

MAB-ST Relational Framework for Game AI and Simulation with Python

An MAB-ST–Based Relational Framework for Game AI and Simulation (Runnable Python Appendix)

View Full Paper
Ask AI
Bookmark
Share

Authors

AMAnna Beáta Markó

Discussion

Loading...

Member takes

Overview

This appendix demonstrates a relational model for game AI and simulation in interactive systems, suggesting a novel approach to behavior generation.

Key Points

  • The aim is to illustrate the application of the MAB-ST relational framework in game AI and simulation contexts with runnable Python code examples.
  • Provided a runnable Python package without external dependencies.
  • Illustrated a relational world model representing networks of relations between entities.
  • Derived behavior from relational patterns using a meta-level rule layer.
  • Demonstrated relational extensions including reputation, factions, and quests.
  • Code examples effectively illustrate the relational world core and an NPC behavior model.
  • The framework allows for easy extensions without fragmentation of control logic.
  • Users can validate and test various relational modeling patterns.

Cite This Study

Anna Beáta Markó (2026) studied this question.

synapsesocial.com/papers/699e919cf5123be5ed04f4a4https://doi.org/10.5281/zenodo.18743579
View Full Paper
Ask AI
Bookmark
Share