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Communication Dans Un Congrès Année : 2022

Reasoning with Ontologies for Non-player Character’s Decision-Making in Games

Résumé

In most games, the decision-making of non-player characters (NPCs) is usually constructed using variants of state machines, behaviour trees, utility-based AI or planning. These methods are relatively simple to implement, but have drawbacks in that it can be difficult to create complex non-hard-coded behaviour for many agents and to maintain the algorithms, especially when scaling up. Game designers usually think of their games with rules that closely resemble logic rules. A methodology is introduced to design both general and modular behaviour using a logic reasoner with hierarchical ontologies. This approach is combined with the well-founded semantics (WFS) to solve the problem of representation and reasoning despite the lack of NPC knowledge.

Dates et versions

hal-03968017 , version 1 (01-02-2023)

Identifiants

Citer

Sylvain Lapeyrade. Reasoning with Ontologies for Non-player Character’s Decision-Making in Games. Artificial Intelligence and Interactive Digital Entertainment, Oct 2022, Pomona, California, United States. pp.303-306, ⟨10.1609/aiide.v18i1.21980⟩. ⟨hal-03968017⟩
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