Imperial College London

Professor Yiannis Demiris

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Human-Centred Robotics, Head of ISN



+44 (0)20 7594 6300y.demiris Website




1014Electrical EngineeringSouth Kensington Campus






BibTex format

author = {Butler, S and Demiris, Y},
pages = {55--62},
publisher = {AISB},
title = {Using a Cognitive Architecture for Opponent Target Prediction},
url = {},
year = {2010}

RIS format (EndNote, RefMan)

AB - One of the most important aspects of a compelling game AI is that it anticipates the player’s actions and responds to them in a convincing manner. The first step towards doing this is to understand what the player is doing and predict their possible future actions. In this paper we show an approach where the AI system focusses on testing hypotheses made about the player’s actions using an implementation of a cognitive architecture inspired by the simulation theory of mind. The application used in this paper is to predict the target that the player is heading towards, in an RTS-style game. We improve the prediction accuracy and reduce the number of hypotheses needed by using path planning and path clustering.
AU - Butler,S
AU - Demiris,Y
EP - 62
PY - 2010///
SP - 55
TI - Using a Cognitive Architecture for Opponent Target Prediction
UR -
UR -
ER -