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    AuthorO'Riordan, Colm (13)Griffith, Josephine (7)Hill, Seamus (7)Redfern, Sam (4)Holland, Jane (3)... View MoreSubjectGenetic algorithms (8)Neutrality (4)Genotype (3)Kilobots (3)Phenotype (3)... View MoreDate Issued2018 (2)2016 (6)2015 (2)2014 (1)2013 (1)Type
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    Evolution of cooperation in N-player social dilemmas: The importance of being mobile 

    Gibbons, Maud D.; O'Riordan, Colm; Griffith, Josephine (SciTePress Digital Library, 2016)
    This paper addresses issues regarding the emergence of cooperation in evolutionary, spatial game-theoretic simulations. In the model considered, agents participate in a social dilemma with their neighbours and have the ...
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    Analysing the impact of dimensionality on diversity in a multi-layered Genotype-Phenotype mapped genetic algorithm 

    Hill, Seamus; O'Riordan, Colm (IEEE, 2013-06-20)
    This paper examines the impact of changes in dimensionality on a multi-layered genotype-phenotype mapped GA.  To gain an understanding of the impact we carry out a series of experiments on a number of well understood ...
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    Player-Traced Empirical Cost-Surfaces for A* Pathfinding 

    Redfern, Sam (Eurosis, 2011)
    This paper discusses the use of empirical cost-surfaces derived from substantial amounts of player-traced movements in an online vehicular combat game, for the purposes of improving A* pathfinding by AI vehicles. The ...
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    Evolving Racetrack Knowledge in a Racing Game. 

    Redfern, Sam (21st National Conference on Artificial Intelligence and Cognitive Science, 2010-07-30)
    This paper discusses the use of a Genetic Algorithm (GA) to evolve waypoint-based racing lines for computer-controlled cars in an online game. One goal is the reduction of developer effort, in order to automatically produce ...
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    Emotion Tracking for Remote Conferencing Applications using Neural Networks. 

    Paul Smith and Sam Redfern; Smith, Paul; Redfern, Sam (The 21st National Conference on Artificial Intelligence and Cognitive Science, 2010-08-31)
    In face-to-face work, discussion and negotiation relies strongly on non-verbal feedback, which provides important clues to negotiation states such as agreement/disagreement and understanding/confusion, as well as indicating ...
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    Cyclic dominance in the spatial coevolutionary optional prisoner's dilemma game 

    Cardinot, Marcos; O'Riordan, Colm; Griffith, Josephine (CEUR-WS.org, 2016-09-20)
    This paper studies scenarios of cyclic dominance in a coevolutionary spatial model in which game strategies and links between agents adaptively evolve over time. The Optional Prisoner’s Dilemma (OPD) game is employed. ...
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    Altering the granularity of neutrality in a multi-layered genetic algorithm 

    Hill, Seamus; O'Riordan, Colm (SciTePress Digital Library, 2014)
    By adopting a basic interpretation of the biological processes of transcription and translation, the multilayered GA (MGA) introduces a genotype-phenotype mapping for a haploid genotype, which allows the granularity of the ...
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    An evolutionary approach to formation control with mobile robots 

    Holland, Jane; Griffith, Josephine; O'Riordan, Colm (SciTePress Digital Library, 2016)
    The field of swarm robotics studies multi-robot systems, emphasising decentralised and self-organising behaviours that deal with limited individual abilities, local sensing and local communication. A robotic system needs ...
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    An analysis of online Twitter sentiment surrounding the European refugee crisis 

    Pope, David; Griffith, Josephine (SciTePress Digital Library, 2016)
    Using existing natural language and sentiment analysis techniques, this study explores different dimensions of mood states of tweet content relating to the refugee crisis in Europe. The study has two main goals. The first ...
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    The optional prisoner's dilemma in a spatial environment: Co-evolving game strategy and link weights 

    Cardinot, Marcus; O'Riordan, Colm; Griffith, Josephine (SciTePress Digital Library, 2016)
    In this paper, the Optional Prisoner’s Dilemma game in a spatial environment, with coevolutionary rules for both the strategy and network links between agents, is studied. Using a Monte Carlo simulation approach, a number ...
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