Algorithms for evaluating creative player actions in game simulators

Abstract

У тезах розглядаються алгоритми оцінювання творчих дій гравця у симуляторах творчої діяльності.

This paper examines algorithms for evaluating creative player actions in creative activity simulators. The main approaches to the formalization and measurement of creativity in a gaming context are analyzed, including heuristic methods, machine learning, and combined approaches. A classification of evaluation methods is proposed, and quality criteria for assessing creative actions are defined. Special attention is paid to player progression and the dynamic adaptation of evaluation algorithms depending on the level of mastery.