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Automated decision-making techniques have been proposed to support engineers in selecting and prioritising requirements. However, to be effectively used in practice they need to be integrated into the organisational context, and their users, namely the members of the development team, and more generally the project's stakeholders, need to be engaged in the resulting tool-supported decision-making...
Many classification techniques can automatically summarize text into topics and accordingly identify topic terms from the online reviews. Among these techniques Latent Dirichlet Allocation (LDA) and Latent Semantic Analysis (LSA) are some of the most often employed approaches. LDA is a probability generated model that projects a document into the topic space using Dirichlet Distribution, and each...
In the modern world, a rapid growth of malicious software production has become one of the most significant threats to the network security. Unfortunately, widespread signature-based anti-malware strategies can not help to detect malware unseen previously nor deal with code obfuscation techniques employed by malware designers. In our study, the problem of malware detection and classification is solved...
In this paper we use the popular card game Dominion as a complex test-bed for the generation of interesting and balanced game rules. Dominion is a trading-card-like game where each card type represents a different game mechanic. Each playthrough only features ten different cards, the selection of which can form a new game each time. We compare and analyse three different agents that are capable of...
This paper proposes the use of an optimization algorithm based on ant colonies for the development of competitive agents in the game environment in real time, specifically for the Ms. Pac-Man video game. Furthermore, a genetic algorithm is implemented to optimize the parameters of the artificial ants. The best agent obtained through experimentation will be sent to the competition of Ms. Pac-Man1 organized...
A framework for simulating physiological responses to exercise lets exergame developers more efficiently test their games during development. An example implementation combines software that simulates heart-rate responses with a custom hardware setup. Simulated heart-rate responses closely match the real physiological responses, demonstrating the approach's validity and potential.
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