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In general video game playing, the challenge is to create agents that play unseen games proficiently. Stochastic tree search algorithms, like Monte Carlo Tree Search, perform relatively well on this task. However, performance is non-transitive: different agents perform best in different games, which means that there is not a single agent that is the best in all the games. Rather, some types of games...
This paper investigates the discriminative capabilities of facial action units (AUs) exhibited by an individual while performing a task on a tablet computer in a semi-unconstrained environment. To that end, AUs are measured on a frame-by-frame basis from videos of 96 different subjects participating in a game-show-like quiz game that included a prize incentive. We propose a method that leverages the...
Complex social networks are often arranged in communities of agents playing similar roles in the network, and detecting these communities can bring insights into the behaviour of such systems. Among many existing methods, a model of communication dynamics that involves exchange and agreement on shared words -- the Naming Game -- has been applied for community detection based on local interactions...
A hierarchical reinforcement learning method based on heuristic reward function is proposed to solve the problem of “curse of dimensionality”, that is the states space will grow exponentially in the number of features, and low convergence speed. The method can reduce state spaces greatly and can enhance the speed of the study. Choose actions with favorable purpose and efficiency so as to optimize...
Building on the extensive research in Virtual Reality (VR), we are proposing a new dynamic prototype for modelling and simulating carbon emissions in a virtual village called VIRVIL. VIRVIL is a simulated settlement for the assessment of the impact of low and zero carbon technologies and measures in the built environment. The prototype will focus on the impact on the community as a whole, as well...
In this paper, we present an approach for detecting MTV video shot using Hidden Markov Models (HMMs), in which the color, shape and motion features are utilized. First, the temporal characteristics of different shot transitions are exploited and an HMM is constructed for shot transitions, including cut and gradual transitions. Secondly, a trained HMM are used to recognize the shot transition automatically,...
In this paper, features of various collision detection algorithms for standard 3D objects among 3D graphic algorithms were analyzed, and a 'Classified dynamic density (CDD)' that utilizes the center value and corner points of standard objects in represent hierarchical structures is suggested. By using CDD, an Level-of-Detail(LOD) algorithm can be applied to 3D space to improve collision detection...
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