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The Second Symposium on Professional Practice in AI 2006 is a conference within the IFIP World Computer Congress 2006, Santiago, Chile. The Symposium is organised by the IFIP Technical Committee on Artificial Intelligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). The First Symposium in this series was one of the conferences in the IFIP World Computer Congi-ess 2004, Toulouse France. The conference featured invited talks by Rose Dieng, John Atkinson, John Debenham and Max Bramer. The Symposium was a component of the IFIP AI 2006 conference, organised by Professor Max Bramer. I should like to thank the Symposium General Chair, Professor Bramer ...
The two-volume set LNAI 12468 and 12469 constitutes the proceedings of the 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, held in Mexico City, Mexico, in October 2020. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 186 submissions. The contributions are organized in topical as follows: Part I: machine and deep learning, evolutionary and metaheuristic algorithms, and soft computing. Part II: natural language processing, image processing and pattern recognition, and intelligent applications and robotics.
Biological and natural processes have been a continuous source of inspiration for the sciences and engineering. For instance, the work of Wiener in cybernetics was influenced by feedback control processes observable in biological systems; McCulloch and Pitts description of the artificial neuron was instigated by biological observations of neural mechanisms; the idea of survival of the fittest inspired the field of evolutionary algorithms and similarly, artificial immune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena. The second International Workshop on Nature Inspired Cooperative Strategies for Opt...
This edited book reports recent research results and provides a state-of-the-art on intelligent decision support systems applications, lessons learned and future research directions. The book covers a balanced mixture of theory and practice, including new methods and developments of intelligent decision support systems applications in Society and Policy Support. Its main objective is to gather a peer-reviewed collection of high quality contributions in the relevant topic areas.
Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining. This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.
This volume brings together approaches to, and perspectives on, English, Spanish, and Galician language, literature, and culture from the fields of women’s, gender, and queer studies. As its title reflects, the book adopts an inclusive attitude to the so-called “others” present in these fields. Since queer theory first appeared in academia, its influence has been notorious within both women’s and genders. As such, it is vital to “queer” academia so that it re-conceptualises its foundations; indeed, the contributions here serve to alter the reader’s consciousness of the terms “woman” and “gender”. The first chapters concern the field of discourse analysis. Two discuss th...
This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Membrane Computing, WMC-CdeA 2002, held in Curtea de Arges, Romania, in August 2002. The 29 revised full papers presented were carefully selected during two rounds of reviewing and revision; some were especially solicited for inclusion in the book after the workshop. Most papers address membrane systems and membrane computing from the point of view of theoretical computer science; some papers solve open problems and present new approaches, and others provide mathematical and biological background. All in all, the book presents the state of the art in membrane computing.
There are a number of books and articles covering particular facets of the topic of aging, such as the image of the elderly in the media, cinema, TV series and commercials, and in literature, which of course provide useful background material and references. However, these studies on aging discourse predominantly focus on a single discipline. This book adds a fresh perspective, by addressing the communicative practices surrounding age, aging and the elderly from a multidisciplinary perspective. The volume addresses several issues related to the discourse on aging, from the problems related to definitions of age to the image of the elderly in literature, cinema, and mass media, and gendered issues surrounding the aging process.
"This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.
This book constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2004, held in Varna, Bulgaria in September 2004. The 52 revised full papers presented were carefully reviewed and selected from 176 submissions. The papers are organized in topical sections on ontology engineering, semantic Web services, knowledge representation and processing, machine learning and data mining, natural language processing, soft computing, neural networks, e-learning systems, multiagent systems, pattern recognition, intelligent decision making, and information retrieval.