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How Do Place and Objects Combine? What-where memory for Human-Like Agents

Publication at Faculty of Mathematics and Physics |
2009

Abstract

Believable spatial behaviour is important for intelligent virtual agents acting in human-like environments, such as buildings or cities. Existing models of spatial cognition and memory for these agents are predominantly aimed at issues of navigation and learning of topology of the environment.

The issue of representing information about possible objects- locations in a familiar environment, information that can evolve over long periods, has not been sufficiently studied. Here, we present a novel representation for 'what-where' information: memory for locations of objects.

We investigate how this representation is formed and how it evolves using a simplified model of a virtual character. The behaviour of the model is also compared with behaviour of real humans conducting an analogical task.