Ontology-based Knowledge System and Team Verification Tool for Competitive Pokemon

Authors

  • Daniel Verdear University of Miami
  • Ubbo Visser

DOI:

https://doi.org/10.32473/flairs.v34i1.128544

Keywords:

ontologies, domain ontology, description logic, esports, pokemon

Abstract

Competitive Pokemon is a domain with rich semantics and complex relationships between its elements. Current research in the domain has focused on developing AI agents to select moves within a match, ignoring the problem of team building. We propose a team verification tool based on ontologies to model the complexities of the domain. A user can input their team into the tool, and the tool uses a description logic reasoner to classify Pokemon into their appropriate roles. The tool exports a visual representation of the team and a score evaluating its competitive viability. The classifications made by the TeamVerify tool have 87.7% precision and 86.0% recall in a multiclass, multilabel domain. We expect such a tool to reduce the learning curve for novice players who have not yet built intuitions on proper team structure.

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Published

2021-04-18

How to Cite

Verdear, D., & Visser, U. (2021). Ontology-based Knowledge System and Team Verification Tool for Competitive Pokemon. The International FLAIRS Conference Proceedings, 34. https://doi.org/10.32473/flairs.v34i1.128544

Issue

Section

Special Track: Artificial Intelligence in Games, Serious Games, and Multimedia