Optimising Humanness: Designing the best human-like Bot for Unreal Tournament 2004

This paper presents multiple hybridizations of the two best bots on the BotPrize 2014 competition, which sought for the best humanlike bot playing the First Person Shooter game Unreal Tournament 2004. To this aim the participants were evaluated using a Turing test in the game. The work considers MirrorBot (the winner) and NizorBot (the second) codes and combines them in two different approaches, aiming to obtain a bot able to show the best behaviour overall. There is also an evolutionary version on MirrorBot, which has been optimized by means of a Genetic Algorithm. The new and the original bots have been tested in a new, open, and public Turing test whose results show that the evolutionary version of MirrorBot apparently improves the original bot, and also that one of the novel approaches gets a good humanness level.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Applications of Evolutionary Computation

This book constitutes the refereed conference proceedings of the 18th International Conference on the Applications of Evolutionary Computation, EvoApplications 2015, held in Copenhagen, Spain, in April 2015, colocated with the Evo* 2015 events EuroGP, EvoCOP, and EvoMUSART. The 72 revised full papers presented were carefully reviewed and selected from 125 submissions. EvoApplications 2015 consisted of the following 13 tracks: EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary computation in robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments)

A bibliometric study of the research area of videogames using Dimensions.ai database

Videogames are a very interesting area of research for fields as diverse as computer science, health, psychology or even social sciences. Every year a growing number of articles are published in different topics inside this field, so it is very convenient to study the different bibliometric data in order to consolidate the research efforts. Thus, the aim of this work is to conduct a study on the distribution of articles related to videogames in the different fields of research, as well as to measure their interest over time, to identify the sources, countries and authors with the highest scientific production. In order to carry out this analysis, the information system Dimensions.ai has been considered, since it covers a large number of documents and allows for easy downloading and analysis of datasets. According to the study, three countries are the most prolific in this area: USA, Canada and UK. The obtained results also indicate that the fields with the highest number of publications are Information and Computer Sciences, Medical and Health Sciences, and Psychology and Cognitive Sciences, in this order. With regard to the impact of the publications, differences between the number of citations, and the number of Altmetric Attention Score, have been found

Stability of derivations under weak-2-local continuous perturbations

[EN] Let ¿ be a compact Hausdorff space and let A be a C¿ -algebra. We prove that if every weak-2-local derivation on A is a linear derivation and every derivation on C(¿, A) is inner, then every weak-2-local derivation ¿ : C(¿, A) ¿ C(¿, A) is a (linear) derivation. As a consequence we derive that, for every complex Hilbert space H, every weak-2-local derivation ¿ : C(¿, B(H)) ¿ C(¿, B(H)) is a (linear) derivation. We actually show that the same conclusion remains true when B(H) is replaced with an atomic von Neumann algebra. With a modified technique we prove that, if B denotes a compact C¿ -algebra (in particular, when B = K(H)), then every weak-2-local derivation on C(¿, B) is a (linear) derivation. Among the consequences, we show that for each von Neumann algebra M and every compact Hausdorff space ¿, every 2-local derivation on C(¿, M) is a (linear) derivation.E. Jorda is partially supported by the Spanish Ministry of Economy and Competitiveness Project MTM2013-43540-P and Generalitat Valenciana Grant AICO/2016/054. A. M. Peralta is partially supported by the Spanish Ministry of Economy and Competitiveness and European Regional Development Fund Project No. MTM2014-58984-P and Junta de Andalucia Grant FQM375.Jorda Mora, E.; Peralta, AM. (2017). Stability of derivations under weak-2-local continuous perturbations. Aequationes Mathematicae. 91(1):99-114. https://doi.org/10.1007/s00010-016-0438-7S99114911Akemann C.A., Johnson B.E.: Derivations of non-separable C*-algebras. J. Funct. Anal. 33, 311–331 (1979)Alexander J.: Compact Banach algebras. Proc. London Math. Soc. 18, 1–18 (1968)Aupetit B.: A Primer on Spectral Theory (Universitext). Springer, New York (1991)Ayupov, Sh., Arzikulov, F.N.: 2-Local derivations on algebras of matrix-valued functions on a compact. (2015) (preprint) arXiv:1509.05701v1Ayupov Sh., Kudaybergenov K.K.: 2-local derivations on von Neumann algebras. Positivity 19(3), 445–455 (2015) doi: 10.1007/s11117-014-0307-3Cabello J.C., Peralta A.M.: Weak-2-local symmetric maps on C*-algebras. Linear Algebra Appl. 494, 32–43 (2016) doi: 10.1016/j.laa.2015.12.024Cabello, J.C., Peralta, A.M.: On a generalized Šemrl’s theorem for weak-2-local derivations on B(H). Banach J. Math. Anal. (to appear) arXiv:1511.07987v2Essaleh A.B.A., Peralta A.M., Ramírez M.I.: Weak-local derivations and homomorphisms on C*-algebras. Linear Multilinear Algebra 64(2), 169–186 (2016). doi: 10.1080/03081087.2015.1028320Johnson, B.E.: Cohomology in Banach algebras, vol. 127. Memoirs of the American Mathematical Society, Providence (1972)Johnson B.E.: Local derivations on C*-algebras are derivations. Trans. Amer. Math. Soc. 353, 313–325 (2001)Kadison R.V.: Derivations of operator algebras. Ann. Math. 83(2), 280–293 (1966)Kadison R.V.: Local derivations. J. Algebra 130, 494–509 (1990)Kadison R.V., Lance E.C., Ringrose J.R.: Derivations and automorphisms of operator algebras II. J. Funct. Anal. 1, 204–221 (1947)Niazi M., and Peralta, A.M.: Weak-2-local derivations on $${\mathbb{M}_n}$$ M n . FILOMAT (to appear)Niazi M., Peralta A.M.: Weak-2-local *-derivations on B(H) are linear *-derivations. Linear Algebra Appl. 487, 276–300 (2015)Ringrose J.R.: Automatic continuity of derivations of operator algebras. J. London Math. Soc. (2) 5, 432–438 (1972)Runde, V.: Lectures on Amenability. Lecture Notes in Mathematics, vol. 1774. Springer, Berlin (2002)Sakai S.: On a conjecture of Kaplansky. Tohoku Math. J. 12, 31–33 (1960)Sakai S.: C*-algebras and W*-algebras. Springer, Berlin (1971)Šemrl P.: Local automorphisms and derivations on B(H). Proc. Amer. Math. Soc. 125, 2677–2680 (1997)Stampfli J.G.: The norm of a derivation. Pac. J. Math. 33(3), 737–747 (1970)Takesaki M.: Theory of operator algebras I. Springer, Berlin (1979

Desarrollo de un Bot Evolutivo Interactivo para Unreal Tournament 2004

En este trabajo se ha implementado un algoritmo genético interactivo en un bot para el juego Unreal Tournament 2004, utilizando como base un bot que se definió anteriormente modelando el conocimiento de un jugador experto. El algoritmo ofrece dos tipos de interacción: por parte de un experto en el juego, o por parte de un experto en el algoritmo. Cada uno influirá en distintos aspectos del algoritmo, para dirigirlo hacia unos mejores resultado con respecto a la humanidad que presente el bot (objetivo de este artículo). Se ha hecho un análisis de la influencia del experto en la ejecución y los resultados muestran cierta mejoría con la versión sin interactividad. El mejor bot obtenido como resultado ha sido presentado a la BotPrize competition de 2014 (buscan el bot más humano posible), quedando en segundo lugar.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Evolutionary Interactive Bot for the FPS Unreal Tournament 2004

This paper presents an interactive genetic algorithm for generating a human-like autonomous player (bot) for the game Unreal Tournament 2004. It is based on a bot modelled from the knowledge of an expert human player. The algorithm provides two types of interaction: by an expert in the game and by an expert in the algorithm. Each one affects different aspects of the evolution, directing it towards better results regarding the agent’s humanness (objective of this work). It has been conducted an analysis of the experts’ influence on the performance, showing much better results after these interactions that the non-interactive version. The best bot were submitted to the BotPrize 2014 competition (which seeks for the best human-like bot), getting the second positionUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

A Multilingual Spam Reviews Detection Based on Pre-Trained Word Embedding and Weighted Swarm Support Vector Machines

Online reviews are important information that customers seek when deciding to buy products or services. Also, organizations benefit from these reviews as essential feedback for their products or services. Such information required reliability, especially during the Covid-19 pandemic which showed a massive increase in online reviews due to quarantine and sitting at home. Not only the number of reviews was boosted but also the context and preferences during the pandemic. Therefore, spam reviewers reflect on these changes and improve their deception technique. Spam reviews usually consist of misleading, fake, or fraudulent reviews that tend to deceive customers for the purpose of making money or causing harm to other competitors. Hence, this work presents a Weighted Support Vector Machine (WSVM) and Harris Hawks Optimization (HHO) for spam review detection. The HHO works as an algorithm for optimizing hyperparameters and feature weighting. Three different language corpora have been used as datasets, namely English, Spanish, and Arabic in order to solve the multilingual problem in spam reviews. Moreover, pre-trained word embedding (BERT) has been applied alongside three-word representation methods (NGram-3, TFIDF, and One-hot encoding). Four experiments have been conducted, each focused on solving and demonstrating different aspects. In all experiments, the proposed approach showed excellent results compared with other state-ofthe- art algorithms. In other words, the WSVM-HHO achieved an accuracy of 88.163%, 71.913%, 89.565%, and 84.270%, for English, Spanish, Arabic, and Multilingual datasets, respectively. Further, a deep analysis has been conducted to investigate the context of reviews before and after the COVID-19 situation. In addition, it has been generated to create a new dataset with statistical features and merge its previous textual features for improving detection performance.Projects TED2021-129938B-I0,PID2020-113462RB-I00, PDC2022-133900-I00PID2020-115570GB-C22, granted by Ministerio Español de Ciencia e InnovaciónMCIN/AEI/10.13039/501100011033MCIN/AEI/10.13039/501100011033MCIN/AEINext GenerationEU/PRT

A New Data-Balancing Approach Based on Generative Adversarial Network for Network Intrusion Detection System

An intrusion detection system (IDS) plays a critical role in maintaining network security by continuously monitoring network traffic and host systems to detect any potential security breaches or suspicious activities. With the recent surge in cyberattacks, there is a growing need for automated and intelligent IDSs. Many of these systems are designed to learn the normal patterns of network traffic, enabling them to identify any deviations from the norm, which can be indicative of anomalous or malicious behavior. Machine learning methods have proven to be effective in detecting malicious payloads in network traffic. However, the increasing volume of data generated by IDSs poses significant security risks and emphasizes the need for stronger network security measures. The performance of traditional machine learning methods heavily relies on the dataset and its balanced distribution. Unfortunately, many IDS datasets suffer from imbalanced class distributions, which hampers the effectiveness of machine learning techniques and leads to missed detection and false alarms in conventional IDSs. To address this challenge, this paper proposes a novel model-based generative adversarial network (GAN) called TDCGAN, which aims to improve the detection rate of the minority class in imbalanced datasets while maintaining efficiency. The TDCGAN model comprises a generator and three discriminators, with an election layer incorporated at the end of the architecture. This allows for the selection of the optimal outcome from the discriminators’ outputs. The UGR’16 dataset is employed for evaluation and benchmarking purposes. Various machine learning algorithms are used for comparison to demonstrate the efficacy of the proposed TDCGAN model. Experimental results reveal that TDCGAN offers an effective solution for addressing imbalanced intrusion detection and outperforms other traditionally used oversampling techniques. By leveraging the power of GANs and incorporating an election layer, TDCGAN demonstrates superior performance in detecting security threats in imbalanced IDS datasets.PID2020-113462RB-I00, PID2020-115570GB-C22 and PID2020-115570GB-C21 granted by Ministerio Español de Economía y CompetitividadProject TED2021-129938B-I0, granted by Ministerio Español de Ciencia e Innovació

Social Role of Economic and Financial Management in Ecuadorian Universities

The research analyzes the process of emergence and development of the sciences related to economic and financial management worldwide and in Ecuador and highlights the social role of universities in terms of ensuring the new system of financial administration developed by the country, shown the model of interrelation between the three main actors in the Ecuadorian economy where universities have an important role in the economic and financial management linked to the state and the activities that take place in the academy are present, be it teaching or research. The objective of the work lies in knowing the role of Ecuadorian universities in the economic and financial management, the method used in the study was the literature review