Programming Multi-Agent Systems

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Max Bramer, Miltos Petridis

<p>The papers in this volume are the refereed papers presented at AI-2012, the Thirty-second SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2012 in both the technical and the application streams.</p><p>They present new and innovative developments and applications, divided into technical stream sections on Data Mining, Data Mining and Machine Learning, Planning and Optimisation, and Knowledge Management and Prediction, followed by application stream sections on Language and Classification, Recommendation, Practical Applications and Systems, and Data Mining and Machine Learning. The volume also includes the text of short papers presented as posters at the conference.</p><p>This is the twenty-ninth volume in the <i>Research and Development </i><i>in Intelligent Systems</i> series, which also incorporates the twentieth volume in the <i>App</i><i>lications and Innovations in Intelligent Systems</i> series. These series are essential reading for those who wish to keep up to date with developments in this important field.</p>

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Pierpaolo Degano (ed

This book constitutes the refereed proceedings of the 12th European Symposium on Programming, ESOP 2003, held in Warsaw, Poland, in April 2003. The 25 revised full papers presented together with two invited papers were carefully reviewed and selected from 99 submissions. Among the topics addressed are programming paradigms and their integration, program semantics, calculi of computation, security, advanced type systems, program analysis, program transformation, and practical algorithms based on theoretical developments.

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Cristiano Castelfranchi, Yao-Hua Tan

One of the major problems in the development of virtual societies, in particular in electronic commerce and computer-mediated interactions in organizations, is trust and deception. This book provides analyses by various researchers of the different types of trust that are needed for various tasks, such as facilitating on-line collaboration, building virtual communities and network organizations, and even the design of effective and user-friendly human-computer interfaces. The book has a multi-disciplinary character providing theoretical models of trust and deception, empirical studies, and practical solutions for creating trust in electronic commerce and multi-agent systems.

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Alan F. Murray

Applications of Neural Networks gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using `Supervised Training'. Section C presents a number of examples of `Unsupervised Training'. For neural network enthusiasts and interested, open-minded sceptics. The book leads the latter through the fundamentals into a convincing and varied series of neural success stories -- described carefully and honestly without over-claiming. Applications of Neural Networks is essential reading for all researchers and designers who are tasked with using neural networks in real life applications.