Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- [RSTDPub] (4)
- Artificial intelligence (2)
- Exercise (2)
- Exergaming (2)
- Game design (2)
-
- Algorithms (1)
- Artificial Intelligence (1)
- Co-evolutionary algorithm (1)
- Coevolution (1)
- Competitive coevolution (1)
- Competitive coevolutionary algorithms (1)
- Cybernetics (1)
- DDR (1)
- Diversity (1)
- Enhancement techniques (1)
- Evolutionary algorithm (1)
- Evolutionary algorithms (1)
- Forestry (1)
- Game designComputer game (1)
- Heart (1)
- Heart rates (1)
- Information Retrieval (1)
- Input devices (1)
- Interactive computer graphics (1)
- Key Installation Protection (1)
- MONTE CARLO (1)
- Mechanics (1)
- Multi-modal (1)
- Multimodal problems (1)
- MultimodalCo-evolution (1)
Articles 1 - 6 of 6
Full-Text Articles in Physical Sciences and Mathematics
Exploration Games Played On A Ddr Pad Can Constitute Beneficial Physical Exercise, Kimthy Nguyen, Bohan Li, Martin Masek, Yuwanuch Gulatee
Exploration Games Played On A Ddr Pad Can Constitute Beneficial Physical Exercise, Kimthy Nguyen, Bohan Li, Martin Masek, Yuwanuch Gulatee
Martin Masek
The addition of an exercise component to computer games is a method that attempts to increase exercise compliance among the population. Various attempts at such games have been made, both commercially and as research projects, but the set of studied game mechanics that are both entertaining and provide beneficial exercise are relatively small. In our work, a game mechanic was designed for a floor-based input controller (DDR Pad). Rather than the standard mechanic usually employed for this device, our approach allows the player to explore a virtual world, requiring exertive movements on the input device in order to progress. The …
Using Monte Carlo Tree Search For Replanning In A Multistage Simultaneous Game, Daniel Beard, Philip Hingston, Martin Masek
Using Monte Carlo Tree Search For Replanning In A Multistage Simultaneous Game, Daniel Beard, Philip Hingston, Martin Masek
Martin Masek
In this study, we introduce MC-TSAR, a Monte Carlo Tree Search algorithm for strategy selection in simultaneous multistage games. We evaluate the algorithm using a battle planning scenario in which replanning is possible. We show that the algorithm can be used to select a strategy that approximates a Nash equilibrium strategy, taking into account the possibility of switching strategies part way through the execution of the scenario in the light of new information on the progress of the battle.
Analysis Of Key Installation Protection Using Computerized Red Teaming, Tirtha Ranjeet, Philip Hingston, Chiou Peng Lam, Martin Masek
Analysis Of Key Installation Protection Using Computerized Red Teaming, Tirtha Ranjeet, Philip Hingston, Chiou Peng Lam, Martin Masek
Martin Masek
This paper describes the use of genetic algorithms (GAs) for computerized red teaming applications, to explore options for military plans in specific scenarios. A tool called Optimized Red Teaming (ORT) is developed and we illustrate how it may be utilized to assist the red teaming process in security organizations, such as military forces. The developed technique incorporates a genetic algorithm in conjunction with an agent-based simulation system (ABS) called MANA (Map Aware Non-uniform Automata). Both enemy forces (the red team) and friendly forces (the blue team) are modelled as intelligent agents in a multi-agent system and many computer simulations of …
Raising Heart Rate With Dance Pad Based Computer Games, Martin Masek, Philip Hingston, Matthew Carrigy, Liam Collins, Kazunori (Ken) Nosaka
Raising Heart Rate With Dance Pad Based Computer Games, Martin Masek, Philip Hingston, Matthew Carrigy, Liam Collins, Kazunori (Ken) Nosaka
Martin Masek
No abstract provided.
A Multimodal Problem For Competitive Coevolution, Philip Hingston, Tirtha Ranjeet, Chiou Peng Lam, Martin Masek
A Multimodal Problem For Competitive Coevolution, Philip Hingston, Tirtha Ranjeet, Chiou Peng Lam, Martin Masek
Martin Masek
Coevolutionary algorithms are a special kind of evolutionary algorithm with advantages in solving certain specific kinds of problems. In particular, competitive coevolutionary algorithms can be used to study problems in which two sides compete against each other and must choose a suitable strategy. Often these problems are multimodal - there is more than one strong strategy for each side. In this paper, we introduce a scalable multimodal test problem for competitive coevolution, and use it to investigate the effectiveness of some common coevolutionary algorithm enhancement techniques.
Managing Multidisciplinary Student Design Teams, Martin Masek, Joo Jung, Barnard Clarkson
Managing Multidisciplinary Student Design Teams, Martin Masek, Joo Jung, Barnard Clarkson
Martin Masek
The management of multidisciplinary student teams is a challenge. In this paper we describe our experience in running a shared assessment across several units. Four multidisciplinary teams were formed, and success was mixed, with one team splitting into two along discipline lines and all experiencing communication issues. The main management challenges that arose were based around difficulty in communication and the understanding of the other disciplines requirements. We outline the process we used to construct the shared assessment, and provide some insight in how the student groups dealt with issues that arose.