The Importance of Separation of Concerns in AI Architecture

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Authors: David Guzman
Cited by: 0

Abstract

The pursuit for realism and immersion within game AI has led to increasingly sophisticated and complex game systems. However, as this complexity has grown, so has the complexity of managing and coordinating multiple aspects of AI behaviour across these disparate systems. This has given rise to the challenge of needing to delineate responsibility, hierarchy, and prioritisation of systems from the earliest stages of development. Failing to do this often results in systems that suffer from significant stability issues as well as being difficult to work with for programmers, designers, and animators. This chapter delves into the complexities of AI architecture and argues for the paramount importance of the separation of concerns as a guiding principle. We explore the perils of monolithic architectures without clear roles of responsibility and advocate for a modular approach that emphasizes clear boundaries between different AI components, facilitating easier development, debugging, and expansion.

Fields of Study & Subjects

Artificial Intelligence in Games Advanced Software Engineering Methodologies Psychiatry Mental Health Neuroscience

Publication details

Journal / source
CRC Press eBooks
Pages
148–155
Publication date
4 March 2026
Language
EN
Document type
Book chapter