ConsScale is a framework for the characterization and measurement of the level of cognitive development in artificial agents. The scale is inspired by an evolutionary perspective of the development of consciousness in biological organisms. In this context, consciousness is considered as an evolutionary advantage that provides the individual with a highly adaptive super-function, i.e. effective synergistic integration of a number of cognitive functions. ConsScale FPS is a specific instantiation of the scale aimed at describing the hierarchical structure of the cognitive skills required by a bot in the domain of a first-person shooter (FPS) video game. Using ConsScale FPS as reference framework, this work proposes specific strategies for the design of more believable bots. The concept of cognitive dependency is introduced and cognitive abilities implemented in state of the art bots are analyzed from the point of view of effective cognitive integration. Finally, in light of the cognitive development of current bots, particular improvements are suggested towards the design of more human-like bots.
CITATION STYLE
Arrabales, R., Ledezma, A., & Sanchis, A. (2012). ConsScale FPS: Cognitive integration for improved believability in computer game bots. In Believable Bots: Can Computers Play Like People? (Vol. 9783642323232, pp. 193–214). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-642-32323-2_8
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