Performance and prediction: Bayesian modelling of fallible choice in chess

Evaluating agents in decision-making applications requires assessing their skill and predicting their behaviour. Both are well developed in Poker-like situations, but less so in more complex game and model domains. This paper addresses both tasks by using Bayesian inference in a benchmark space of reference agents. The concepts are explained and demonstrated using the game of chess but the model applies generically to any domain with quantifiable options and fallible choice. Demonstration applications address questions frequently asked by the chess community regarding the stability of the rating scale, the comparison of players of different eras and/or leagues, and controversial incidents possibly involving fraud. The last include alleged under-performance, fabrication of tournament results, and clandestine use of computer advice during competition. Beyond the model world of games, the aim is to improve fallible human performance in complex, high-value tasks

The Potential for Using Artificial Intelligence Techniques to Improve e-Learning Systems

There has been significant progress in the development of techniques to deliver more effective e-Learning systems in both education and commerce but our research has identified very few examples of comprehensive learning systems that exploit contemporary artificial intelligence (AI) techniques. We have surveyed existing intelligent learning/training systems and explored the contemporary AI techniques which appear to offer the most promising contributions to e-Learning. We have considered the non-technological challenges to be addressed and considered those factors which will allow step change progress. With the convergence of several of the required components for success increasingly in place we believe that the opportunity to make this progress is now much stronger. We present a description of the fundamental components of an adaptive learning system designed to fulfill the objectives of the teacher and to develop a close relationship with the learner, monitoring and adjusting the teaching based upon a wide variety of analyses of their knowledge and performance. This is an important area for future research with the opportunity to deliver significant value to both education and commerce. The development of improved learning systems in conjunction with trainers, teachers and subject matter experts will provide benefits to educational institutions and help commercial organisations to face critical challenges in the training, development and retention of the key skills required to address new, emerging technologies and business models.Final Accepted Versio

Virtual Reality Games for Motor Rehabilitation

This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion

Higher education stimulating creative enterprise

This report summarises the research undertaken by the Business & Community School at the University for the Creative Arts (UCA), analysing ways that higher ediucation (HEIs) can support, and indeed stimulate, the creative economy. The research, in collaboration with the Arts University College Bournemouth (AUCB) and the University of Winchester, serves as a mere snapshot of the numerous ways that Universities engage with the diverse industries under the 'creative' nomenclature and of the very real and poistive ways that the higher education sector contributes to the growth of the creative economy in thhe UK

How to Create an Innovation Accelerator

Too many policy failures are fundamentally failures of knowledge. This has become particularly apparent during the recent financial and economic crisis, which is questioning the validity of mainstream scholarly paradigms. We propose to pursue a multi-disciplinary approach and to establish new institutional settings which remove or reduce obstacles impeding efficient knowledge creation. We provided suggestions on (i) how to modernize and improve the academic publication system, and (ii) how to support scientific coordination, communication, and co-creation in large-scale multi-disciplinary projects. Both constitute important elements of what we envision to be a novel ICT infrastructure called "Innovation Accelerator" or "Knowledge Accelerator".Comment: 32 pages, Visioneer White Paper, see http://www.visioneer.ethz.c

CUESTIONES DE TEMA DE LA INVESTIGACIÓN Y EL DESARROLLO DE POLÍTICAS EDUCATIVAS EN RUSIA

O artigo trata de algumas direções do desenvolvimento de pesquisas e políticas educacionais. Analisa a correlação de abordagens para o desenvolvimento do programa de liderança acadêmica estratégica e os centros de pesquisa e educação de classe mundial que estabelecem centros de desenvolvimento de competências. O conhecimento e a tecnologia de engenharia estão no centro da economia moderna. Métodos de engenharia, abordagens e tecnologias têm permeado medicina, biologia, agricultura, química e desenvolvimento de novos materiais. Entender os rumos do desenvolvimento tecnológico determina as perspectivas de criação e utilização de novos produtos. O desenvolvimento adicional relacionado à introdução de tecnologias de inteligência artificial na indústria de construção de motores, desde o ponto de vista da regulação jurídica, permitirá consolidar o status legal dessas tecnologias e regular o algoritmo e delimitar o uso de tecnologias de inteligência artificial. A análise das respostas aos grandes desafios do desenvolvimento científico e tecnológico e o esgotamento das oportunidades de crescimento econômico, a formação da economia digital e os riscos de redução dos recursos humanos. Propõe-se o desenvolvimento de procedimentos internacionais de acreditação. Palavras-chave: Pesquisa; Educação; Pesquisa e centro educacional; Centro de desenvolvimento de competências; Tecnologias de inteligência artificial; Acreditação internacional.The article deals with some directions of the research and educational policy development. The correlation of approaches to the development of the strategic academic leadership program and the world-class research and educational centers establishing, centers of competence development is analyzed. Engineering knowledge and technology are at the heart of the modern economy. Engineering methods, approaches, and technologies have permeated medicine, biology, agriculture, chemistry, and the development of new materials. Understanding the directions of technological development determines the prospects for creating and using new products. further development of the issue related to the introduction of artificial intelligence technologies in the engine-building industry from the point of view of legal regulation will allow to consolidate the official legal status of such technologies at the legal level and regulate the algorithm and delimit the use of artificial intelligence technologies. The analysis of responses to the big challenges of scientific and technological development and the exhaustion of economic growth opportunities, the formation of the digital economy and the risks of reducing human resources. The development of international accreditation procedures is proposed. Keywords: Research; Education: Research and educational center: Competence development center; Artificial intelligence technologies: International accreditation.El artículo trata sobre algunas orientaciones para el desarrollo de políticas de investigación y educación. Se analiza la correlación de enfoques para el desarrollo del programa de liderazgo académico estratégico y los centros de investigación y educación de clase mundial que establecen, centros para el desarrollo de competencias. El conocimiento y la tecnología de la ingeniería están en el corazón de la economía moderna. Métodos, enfoques y tecnologías de ingeniería han permeado la medicina, la biología, la agricultura, la química y el desarrollo de nuevos materiales. Comprender la dirección del desarrollo tecnológico determina las perspectivas de crear y utilizar nuevos productos. El mayor desarrollo del tema relacionado con la introducción de tecnologías de inteligencia artificial en la industria de la construcción de motores desde el punto de vista de la regulación legal, permitirá consolidar el estatus oficial de estas tecnologías y regular el algoritmo y limitar el uso de tecnologías de inteligencia. artificial. El análisis de respuestas a los grandes desafíos del desarrollo científico y tecnológico y el agotamiento de oportunidades de crecimiento económico, la formación de la economía digital y los riesgos de reducción de recursos humanos. Se propone desarrollar procedimientos de acreditación internacional. Palabras clave: Investigación; Educación; Centro de investigación y educación; Centro de desarrollo de habilidades; Tecnologías de inteligencia artificial; Acreditación internacional

A Competency Mapping for Educational Institution: Expert System Approach

This paper presents the development of expert system to assist in the operation of competence management in educational institution. The knowledge based consists of a rule-based expert system for the competence management and subsequent performance assessment. It is generally recognized that an expert system can cope with many of the common problems relative with the operation and control of the competence management process. In this work an expert system is developed which emphasize on various steps involved in the competence management process. The knowledge acquisition to develop this expert system involved an exhaustive literature review on competence management operation and interviews with experienced deans and the competence managers. The development tool for this system is an expert system shell

Engineering Multi-Agent Systems: State of Affairs and the Road Ahead

The continuous integration of software-intensive systems together with the ever-increasing computing power offer a breeding ground for intelligent agents and multi-agent systems (MAS) more than ever before. Over the past two decades, a wide variety of languages, models, techniques and methodologies have been proposed to engineer agents and MAS. Despite this substantial body of knowledge and expertise, the systematic engineering of large-scale and open MAS still poses many challenges. Researchers and engineers still face fundamental questions regarding theories, architectures, languages, processes, and platforms for designing, implementing, running, maintaining, and evolving MAS. This paper reports on the results of the 6th International Workshop on Engineering Multi-Agent Systems (EMAS 2018, 14th-15th of July, 2018, Stockholm, Sweden), where participants discussed the issues above focusing on the state of affairs and the road ahead for researchers and engineers in this area