الصفحة 9
الصفحة 9
Artificial intelligence in medicine ; 10th conference on artificial intelligence in medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005, Proceedings
This book constitutes the refereed proceedings of the 10th Conference on Artificial Intelligence in Medicine in Europe, AIME 2005, held in Aberdeen, UK in July 2005. The 35 revised full papers and 34 revised short papers presented together with 2 invited contributions were carefully reviewed and selected from 148 submissions. The papers are organized in topical sections on temporal representation and reasoning, decision support systems, clinical guidelines and protocols, ontology and terminology, case-based reasoning, signal interpretation, visual mining, computer vision and imaging, knowledge management, machine learning, knowledge discovery, and data mining.
Artificial intelligence applications and innovations II; IFIP TC12 and WG12.5 ; 2nd IFIP conference on artificial intelligence applications and innovations (AIAI-2005), Sept. 7-9, 2005, Beijing, China
Artificial Intelligence is one of the oldest and most exciting subfields of computing, covnering such areas as intelligent robotics, intelligent planning and scheduling, model-based reasoning, fault diagnosis, natural language processing, maching translation, knowledge representation and reasoning, knowledge-based systems, knowledge engineering, intelligent agents, machine learning, neural nets, genetic algorithms and knowledge management. The papers in this volume comprise the refereed proceedings of the Second International Conference on Artificial Intelligence Applications and Innovations,held in Beijing, China in 2005.
Artificial intelligence and legal analytics : new tools for law practice in the digital age
The field of artificial intelligence (AI) and the law is on the cusp of a revolution. This book - designed to explain computational processes to non-programmers - describes how text analytic programs will change the practice of law, specifically by connecting computational models of legal reasoning directly with legal text.
Arnolds Problems
Arnold's Problems contains mathematical problems.The invariable peculiarity of these problems was that Arnold did not consider mathematics a game with deductive reasoning and symbols, but a part of natural science (especially of physics), i.e. an experimental science. Many of these problems are still at the frontier of research today and are still open, and even those that are mainly solved keep stimulating new research, appearing every year in journals all over the world.The second part of the book is a collection of commentaries, mostly by Arnold's former students, on the current progress in the problems' solutions (featuring a bibliography inspired by them).
Argumentation Methods for Artificial Intelligence in Law
In this book, Walton presents his perspective on argumentation methods for artificial intelligence and law. … the different tools are combined in a way that makes them potentially useful for understanding legal reasoning. … this book offers a valuable perspective on the current state and future research directions of argumentation methods for artificial intelligence and law." (Jelle van Veenen, Artificial Intelligence and Law,
Argumentation in Science Education : Perspectives from Classroom-Based Research
This book brings together the work of leading experts in argumentation in science education. It presents research combining theoretical and empirical perspectives relevant for secondary science classrooms. Since the 1990s, argumentation studies have increased at a rapid pace, from stray papers to a wealth of research exploring ever more sophisticated issues. This volume constitutes a unique collection and covers fundamental issues in argumentation such as cognitive, methodological and epistemological aspects; classroom-based research in teaching and learning of argumentation in science classrooms; and argumentation in context such as in socio-scientific and moral contexts. The book’s underlying premise is that argumentation is a significant aspect of scientific inquiry and plays an important role in teaching and learning of science.
Argumentation in multi-agent systems ; Vol. 4049 ; 2nd International Workshop, ArgMAS 2005, Utrecht, Netherlands, July 26, 2005, revised selected and invited papers
This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Argumentation in Multi-Agent Systems held in Utrecht, Netherlands in July 2005 as an associated event of AAMAS 2005, the main international conference on autonomous agents and multi-agent systems. The 10 revised full papers presented together with an invited paper were carefully reviewed and selected from 17 submissions. The papers are organized in topical sections on foundations, negotiation, protocols, deliberation and coalition formation, and consensus formation.
Argumentation in multi-agent systems ; Vol. 3366 ; 1st International Workshop, ArgMAS 2004, New York, NY, USA, July 19, 2004, revised selected and invited papers
The theory of argumentation is a rich, interdisciplinary area of research lying across philosophy, communication studies, linguistics, and psychology (at least). Its techniques and results have found a wide range of applications in both t- oretical and practical branches of arti'cial intelligence and computer science. Several theories of argumentation with various semantics have been proposed in the literature. Multi-agent systems theory has picked up argument-inspired approaches and speci'cally argumentation-theoretic results from many di'erent areas. The community of researchers in argumentation and multi-agent systems is currently presented with a unique opportunity to integrate the various und- standings of argument into a coherent and core part of the functioning of - tonomouscompu...
Architecting Systems with Trustworthy Components ; International Seminar, Dagstuhl Castle, Germany, December 12-17, 2004. Revised Selected Papers
This book constitutes the thoroughly refereed post-proceedings of the International Dagstuhl-Seminar on Architecting Systems with Trustworthy Components, held in Dagstuhl Castle, Germany, in December 2004. The 10 revised full papers presented together with 5 invited papers contributed by outstanding researchers were carefully selected and included in the book reflecting ongoing impovement from the seminar. Core problems addressed by the seminar are measurement and normalization of non-functional properties, modular reasoning over non-functional properties, capture of component requirements in interfaces and protocols, interference and synergy of top-down and bottom-up aspects, duality of componentization and architecture, system properties, and opportunities for correctness by construction/static checking.
Applications of computational intelligence
Computational intelligence (CI) is the theory, design, application, and development of biologically and linguistically motivated computational paradigms. Traditionally, the three main pillars of CI have been neural networks, fuzzy systems, and evolutionary computation. However, in time, many nature-inspired computing paradigms have evolved. Thus, CI is an evolving field, and, at present, in addition to the three main constituents, it encompasses computing paradigms such as ambient intelligence, artificial life, cultural learning, artificial endocrine networks, social reasoning, and artificial hormone networks. CI plays a major role in developing successful intelligent systems, including games and cognitive developmental systems.
Applications and Innovations in Intelligent Systems XIII ; Proceedings of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artifical Intelligence
The papers in this volume present new and innovative developments in the field, divided into sections on Applied AI in Information Processing, Techniques for Applied AI, Industrial Applications and Medical Applications.This is the thirteenth volume in the Applications and Innovations series. The series serves as a key reference as to how AI technology has enabled organisations to solve complex problems and gain significant business benefit.
Annotating, Extracting and Reasoning about Time and Events ; International Seminar, Dagstuhl Castle, Germany, April 20-15, 2005, Revised Papers
The book presented centers around an emergingde factost and ardfortime and event annotation: TimeML. TimeML has recently been adopted as a candidate for an ISO standard, and is currently being reviewed in this capacity.It discussions focussed on the following three Time- related issues: using the TimeML language efiectively for consistent annotation, determining how useful such annotation is for further processing,and describing modifications that should be applied to the standard for applications such as question-answering and information retrieval. Discussions at the Dagstuhl Seminar led to new researchideas, and a variety
Analytical approaches for reinforced concrete
Applies deductive reasoning, logic and mathematics to RC. Laying out, deductively, the principles of RC, it encourages researchers to re-imagine and innovate using a solid conceptual framework. Sections consider the reasoning behind key theories, as well as problems that remain unsolved.
Analysis and Synthesis of Logics : How to Cut and Paste Reasoning Systems
Starting with simple examples showing the relevance of cutting and pasting logics, the monograph develops a mathematical theory of combining and decomposing logics, ranging from propositional and first-order based logics to higher-order based logics as well as to non-truth functional logics. The theory covers mechanisms for combining semantic structures and deductive systems either of the same or different nature (for instance, two Hilbert calculi or a Hilbert calculus and a tableau calculus). The important issue of preservation of properties is extensively addressed. For instance, sufficient conditions are provided for a combined logic to be sound and complete when the original component logics are known to be sound and complete.
An introduction to ontology engineering
Provides the reader with a comprehensive introductory overview of ontology engineering. A secondary aim is to provide hands-on experience in ontology development that illustrate the theory. The book is divided into three blocks: Block I: logic foundations for ontologies both regarding the languages (mainly First Order predicate Logic, Description Logics, and OWL) and automated reasoning. Block II: developing good ontologies with methods and methodologies, the top-down approach with foundational ontologies, and the bottom-up approach to extract as much useful content as possible from legacy material. Block III: advanced topics with a selection of areas of specialisation, including Ontology-Based Data Access, the interaction between ontologies and natural languages (multilingual ontologies, controlled natural language), and advanced modelling with additional language features (fuzzy and temporal ontologies)
An Introduction to Knowledge Engineering
Knowledge Engineering refers to the development of systems that use knowledge, rather than data, to solve many novel computing problems. This is achieved by the application of computing techniques, closely associated with human cognitive processes, for transforming data into knowledge. An Introduction to Knowledge Engineering presents a simple but detailed exploration of current and established work in the field.
An introduction to description logics
Designed so that domain knowledge can be described and so that computers can reason about this knowledge. DLs have recently gained increased importance since they form the logical basis of widely used ontology languages, in particular the web ontology language OWL. Written by four renowned experts, this is the first textbook on description logics. It is suitable for self-study by graduates and as the basis for a university course. Starting from a basic DL, the book introduces the reader to their syntax, semantics, reasoning problems and model theory and discusses the computational complexity of these reasoning problems and algorithms to solve them.
AI*IA 2007 : Artificial intelligence and human-oriented computing ; 10th Congress of the Italian Association for Artificial Intelligence, Rome, Italy, September 10-13, 2007, Proceedings
The book is organized in topical sections on knowledge representation and reasoning, multiagent systems, distributed AIai, knowledge engineering, ontologies and the semantic Web, machine learning, natural language processing, information retrieval and extraction, planning and scheduling, AI and applications. Three special tracks depicting progresses in significant application fields that represent increasingly relevant topics contain 18 additional papers on AI and robotics, AI and expressive media, and intelligent access to multimedia information
AI 2007: Advances in artificial intelligence ; 20th Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, December 2-6, 2007, Proceedings
The book is organized in topical sections on machine learning, neural networks, evolutionary computing, constraint satisfaction, satisfiability, automated reasoning, knowledge discovery, robotics, social intelligence, ontologies and semanti.
Agent-oriented software engineering VII ; 7th International Workshop, AOSE 2006, Hakodate, Japan, May 8, 2006, Revised and Invited Papers
Software architectures that contain many dynamically interacting components, each with their own thread of control, and engaging in complex coordination protocols, are difficult to correctly and efficiently engineer. Agent-oriented modelling techniques are important for supporting the design and development of such applications.The book is organized in topical sections on modelling and design of agent systems, modelling open agent systems, formal reasoning about designs, as well as testing, debugging and evolvability.
