Computational Intelligence and Games

This book is about the three identities of the videogame, the gamer, and Game Studies. I write that there are no definitive truths but rather discourses and constructions; ideas, actions, beliefs, and practices related to videogames are discourses that merge and shape our perception of videogames as an area of study of its own right. These discursive responses meet and clash creating what we call truths, which are temporary and negotiable.

This perspective is inspired by Foucauldian ideas and present few questions about videogame-related identities in and outside of academe. Does Game Studies have a conceptual core? What makes game studies difficult to be disciplined in academe? What do we learn from the scholarly and popular discourses on videogames that would help understand the identity questions related to games?

I go on to describe what makes the videogame identity according to game studies: aesthetics, fictions, meaning-making, performance, transformation, etc. and what makes it difficult for game studies being an open market of ideas and an academic "un-discipline". This leads me to the gamer's identity: an aficionado first, and a connoisseur of fictional worlds.

Easy Home or Home automation plays a very important role in modern era because of its flexibility in using it at different places with high precision which will save money and time by decreasing human hard work. Prime focus of this technology is to control the household equipment's like light, fan, door, AC etc. automatically. This research paper has detailed information on Home Automation and Security System using Arduino, GSM and how we can control home appliances using Android application. Whenever a person will enter into the house then the count of the number of persons entering in the house will be incremented, in Home Automation mode applicances will be turned on whereas in security light will be turned on along with the alarm. The count of the number of persons entering the house is also displayed on the LCD screen. In Home Automation mode when the room will become empty i.e. the count of persons reduces to zero then the applicances will be turned off making the system power efficient. Moreover a person can control his home appliances by using an android application present in his mobile phone which will reduce the human hard work. At the same time if anyone enters while security mode is on a SMS will be sent to house owner's mobile phone which will indicate the presence of a person inside the house.The alarm can be turned of using SMS or Android application.

Easy Home or Home automation plays a very important role in modern era because of its flexibility in using it at different places with high precision which will save money and time by decreasing human hard work. Prime focus of this technology is to control the household equipment's like light, fan, door, AC etc. automatically. This research paper has detailed information on Home Automation and Security System using Arduino, GSM and how we can control home appliances using Android application. Whenever a person will enter into the house then the count of the number of persons entering in the house will be incremented, in Home Automation mode applicances will be turned on whereas in security light will be turned on along with the alarm. The count of the number of persons entering the house is also displayed on the LCD screen. In Home Automation mode when the room will become empty i.e. the count of persons reduces to zero then the applicances will be turned off making the system power efficient. Moreover a person can control his home appliances by using an android application present in his mobile phone which will reduce the human hard work. At the same time if anyone enters while security mode is on a SMS will be sent to house owner's mobile phone which will indicate the presence of a person inside the house.The alarm can be turned of using SMS or Android application.

Las piezas audiovisuales ayudan a comprender los contenidos complejos dando respuesta a este tipo de interrogantes que explican de forma corta, sencilla y efectiva, la historia, aplicaciones y funcionamiento de dichas carreras profesionales. A partir de esta necesidad de crear determinados lineamientos del lenguaje audiovisual para la enseñanza de las diferentes ingenierías que actualmente existen a nivel global, surge el proyecto MIDA para entrenar a estudiantes de Ingeniería en tópicos de alta exigencia de abstracción, y LEARNITRON es un subproyecto enfocado al estudio y aplicación de las técnicas audiovisuales en este contexto. En el presente trabajo se instaura una breve descripción acerca de las técnicas apropiadas a la hora de realizar vídeos de contenido educativo, alcances de éste tipo de herramientas audiovisuales y finalizando con la presentación de pruebas estadísticas que sustentan el incentivo de este tipo de técnicas en la enseñanzas. Dicho proyecto propone una innovadora metodología de refinado y mejora del proceso de aprendizaje ingenieriles.

This paper develops an approach to the capture most famous aspect of poker is the use of deception in the and measurement of the information contained in opponents' form of bluffing and slowplaying to mislead opponents about bet actions in seven card stud poker. We develop a causal model ones actual hand strength. Bluff and slowplay bet actions linking downcards with hand strength, thence to bet actions.

Text mining is the process of extracting interesting and non-trivial knowledge or information from unstructured text data. Text mining is the multidisciplinary field which draws on data mining, machine learning, information retrieval, computational linguistics and statistics. Important text mining processes are information extraction, information retrieval, natural language processing, text classification, content analysis and text clustering. All these processes are required to complete the preprocessing step before doing their intended task. Pre-processing significantly reduces the size of the input text documents and the actions involved in this step are sentence boundary determination, natural language specific stop-word elimination, tokenization and stemming. Among this, the most essential and important action is the tokenization. Tokenization helps to divide the textual information into individual words. For performing tokenization process, there are many open source tools are available. The main objective of this work is to analyze the performance of the seven open source tokenization tools. For this comparative analysis, we have taken Nlpdotnet Tokenizer, Mila Tokenizer, NLTK Word Tokenize, TextBlob Word Tokenize, MBSP Word Tokenize, Pattern Word Tokenize and Word Tokenization with Python NLTK. Based on the results, we observed that the Nlpdotnet Tokenizer tool performance is better than other tools.

In this paper, an accurate numerical method is presented to find the numerical solution of the singular initial value problems. The second-order singular initial value problem under consideration is transferred into a first-order system of initial value problems, and then it can be solved by using the fifth-order Runge Kutta method. The stability and convergence analysis is studied. The effectiveness of the proposed methods is confirmed by solving three model examples, and the obtained approximate solutions are compared with the existing methods in the literature. Thus, the fifth-order Runge-Kutta method is an accurate numerical method for solving the singular initial value problems.

Advanced Computational Intelligence: An International Journal (ACII) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of computational intelligence. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced computational intelligence concepts and establishing new collaborations in these areas.

The term General Game Playing (GGP) refers to a subfield of Artificial Intelligence which aims at developing agents able to effectively play many games from a particular class (finite, deterministic). It is also the name of the annual competition proposed by Stanford Logic Group at Stanford University, which provides a framework for testing and evaluating GGP agents.

Certain subjects in Engineering cover complex concepts.
Multimedia may provide a simple, short and effective way to explain them.
This paper aims to describe a virtual learning environment named MIDA. It
has been designed to train and evaluate a set of tips to improve teaching in
that area. LEARNITRON is an offspring of the project. It is a sub project for
automatic modelling learning profile of students according to the
combination of students profile, topics to be taught and current set of
multimedia tools. The goal of this paper is to sketch LEARNITRON and
how to improve multimedia tools for teaching, based on basic machine
learning techniques. The resulting model may be useful to define specific
features for better educational videos, and to acknowledge the right scope of
multimedia as a way to teach or train students in Engineering subjects based
not on personal opinion but on statistical findings

This paper discusses the use of simulated robots in a virtual table tennis environment. Specifically, the use of a two-segment arm for the control of a bat and the possibilities of using vision as a human-computer interface are investigated. The motivation of this work is to provide a tool to test robot controllers in a challenging environment to perform non-repetitive tasks. The benefits of such research include the development of controllers that are able to operate in nonordered, unpredictable environments, eg ...

The most important need for a web based survey technology is speedy performance and accurate results .Though there are variety of ways a survey can be taken manually and have it assessed manually but here we are introducing the survey site concept where the assessment of the survey responses are created automatically by applying certain statistics. In this paper we propose the idea of automated approach to the analysis of the survey where the results would be evident graphically to take a wise decision. Additional to graphical view we aim on forming a platform to view complex, tedious data in simple, understandable, interactive and visualized form.

Cerebral Palsy (CP) is one of the major conditions that prevent subjects suffering from having free control over their limbs, currently the use of electroencephalography (EEG) signals to control rehabilitation devices is a very useful alternative. However, these EEG signals are susceptible to noise and a filtering preprocessing is necessary before the feature extraction and classification. There are very good algorithms detecting motor intensities in the upper limbs such as Least Squares Support Vector Machine (LS-SVM) with spectral density characteristics. However, in the present work we propose to determine the algorithms of extraction of characteristics and classification that allow to detect satisfactorily the motor intensities in lower limbs.

Episodic control provides a highly sample-efficient method for reinforcement learning while enforcing high memory and computational requirements. This work proposes a simple heuristic for reducing these requirements, and an application to Model-Free Episodic Control (MFEC) is presented. Experiments on Atari games show that this heuristic successfully reduces MFEC computational demands while producing no significant loss of performance when conservative choices of hyper-parameters are used. Consequently, episodic control becomes a more feasible option when dealing with reinforcement learning tasks.

Cerebral Palsy (CP) is one of the major conditions that prevent subjects suffering from having free control over their limbs, currently the use of electroencephalography (EEG) signals to control rehabilitation devices is a very useful alternative. However, these EEG signals are susceptible to noise and a filtering preprocessing is necessary before the feature extraction and classification. There are very good algorithms detecting motor intensities in the upper limbs such as Least Squares Support Vector Machine (LS-SVM) with spectral density characteristics. However, in the present work we propose to determine the algorithms of extraction of characteristics and classification that allow to detect satisfactorily the motor intensities in lower limbs.