Browsing Information Technology by Type "Conference Paper"
Now showing items 21-40 of 46
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Evolving collective behaviours in simulated kilobots
(Association for Computing Machinery, 2018-04-09)The field of Evolutionary Robotics has multiple common tasks and widely used benchmark activities such as navigation, obstacle avoidance, and phototaxis. We present an evolutionary approach to learning behaviours that ... -
Evolving Racetrack Knowledge in a Racing Game.
(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 ... -
Examining the impact of neutrality on genetic algorithm population evolution
(SciTePress Digital Library, 2015-11-12)This paper examines the introduction of neutrality as proposed by Kimura (Kimura, 1968) into the genotype-phenotype mapping of a Genetic Algorithm (GA). The paper looks at the evolution of both a simple GA (SGA) and a ... -
Examining the use of a non-trivial fixed genotype-phenotype mapping in genetic algorithms to induce phenotypic variability over deceptive uncertain landscapes
(IEEE, 2011-06-05)In nature, living organisms can be viewed as the product of their genotype-phenotype mapping (GP-map). This paper presents a GP-map loosely based on the biological phe- nomena of transcription and translation, to create a ... -
Experimental Assessment of an Emotion Tracking Software Agent (ETA) for Assisting Communicative Interactions of Multitasking Users in Groupware
(Eurosis, 2011-08-22)Interactions such as discussion and negotiation in face-to-face work contexts strongly rely on non-verbal feedback. Such feedback provides indications of important negotiation states such as agreement or disagreement and ... -
A genetic algorithm with a multi-layered genotype-phenotype mapping
(SciTePress Digital Library, 2010-08-24)In this paper we investigate the introduction of a multiple-layer genotype-phenotype mapping to a Genetic Algorithm (GA) which attempts to mimic more closely, the effects of nature. The motivation for introducing multiple-layers ... -
The Genetic Evolution of Kernels for Support Vector Machine Classifiers
(2004)Abstract. The Support Vector Machine (SVM) has emerged in recent years as a popular approach to the classi¿cation of data. One problem that faces the user of an SVM is how to choose a kernel and the speci¿c parameters for ... -
Identifying the reality gap between abstract and realistic models using evolved agents and simulated kilobots
(IEEE, 2018-12-12)A common challenge in evolutionary swarm robotics is the transfer of simulated results into real-world applications. This difficulty can arise in a variety of real-world settings and problems such as sensory differences in ... -
A learning architecture for scheduling workflow applications in the cloud
(IEEE, 2011-09-15)The scheduling of workflow applications involves the mapping of individual workflow tasks to computational resources, based on a range of functional and non-functional quality of service requirements. Workflow applications ... -
A Machine Learning Application for Classification of Chemical Spectra
(2008)This paper presents a software package that allows chemists to analyze spectroscopy data using innovative machine learning (ML) techniques. The package, designed for use in conjunction with lab-based spectroscopic ... -
Meme sentiment analysis enhanced with multimodal spatial encoding and facial embedding
(University of Galway, 2022-12-08)Internet memes are characterised by the interspersing of text amongst visual elements. State-of-the-art multimodal meme classifiers do not account for the relative positions of these elements across the two modalities, ... -
Multi-Class and Single-Class Classification Approaches to Vehicle Model Recognition from Images
(2005)This paper investigates the use of machine learning classification techniques applied to the task of recognising the make and model of vehicles. Although a number of vehicle classification systems already exist, most of ... -
Neural Network Approach to Predicting Stock Exchange Movements using External Factors
(2005)The aim of this study is to evaluate the effectiveness of using external indicators, such as commodity prices and currency exchange rates, in predicting movements in the Dow Jones Industrial Average index. The performance ... -
Neutrality through transcription and translation in genetic algorithm representation
(SciTePress Digital Library, 2012-10-05)This paper examines the use of the biological concepts of transcription and translation, to introduce neutrality into the representation of a genetic algorithm (GA). The aim of the paper is to attempt to identify problem ... -
On the Classification Performance of TAN and General Bayesian Networks
(2008)Over a decade ago, Friedman et al. introduced the Tree Augmented Naïve Bayes (TAN) classifier, with experiments indicating that it significantly outperformed Naïve Bayes (NB) in terms of classification ... -
One-Class Support Vector Machine Calibration Using Particle Swarm Optimisation
(2007)Abstract. Population-based search methods such as evolutionary algorithms, shuffled complex algorithms, simulated annealing and ant colony search are increasingly used as automatic calibration methods ... -
The optional prisoner's dilemma in a spatial environment: Co-evolving game strategy and link weights
(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 ... -
Particle swarm optimisation with gradually increasing directed neighbourhoods
(Association for Computing Machiner, 2011)Particle swarm optimisation (PSO) is an intelligent random search algorithm, and the key to success is to effectively balance between the exploration of the solution space in the early stages and the exploitation of the ... -
Player-Traced Empirical Cost-Surfaces for A* Pathfinding
(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 ... -
Probabilistic Detection of Short Events, with Application to Critical Care Monitoring
(2008)We describe an application of probabilistic modeling and inference technology to the problem of analyzing sensor data in the setting of an intensive care unit (ICU). In particular, we consider the arterial-line blood ...