This survey provides an introduction to computational approaches to the discovery of communicable scientific knowledge and details recent advances. It is partly inspired by the contributions of the International Symposium on Computational Discovery of Communicable Knowledge, held in Stanford, CA, USA in March 2001, a number of additional invited contributions provide coverage of recent research in computational discovery.
Information technology has been, in recent years, under increasing commercial pressure to provide devices and systems which help/ replace the human in his daily activity. This pressure requires the use of logic as the underlying foundational workhorse of the area. New logics were developed as the need arose and new foci and balance has evolved within logic itself. One aspect of these new trends in logic is the rising impor tance of model based reasoning. Logics have become more and more tailored to applications and their reasoning has become more and more application dependent. In fact, some years ago, I myself coined the phrase "direct deductive reasoning in application areas", advocating the methodology of model-based reasoning in the strongest possible terms. Certainly my discipline of Labelled Deductive Systems allows to bring "pieces" of the application areas as "labels" into the logic. I therefore heartily welcome this important book to Volume 25 of the Applied Logic Series and see it as an important contribution in our overall coverage of applied logic.
Contains the 170 technical presentations from the November 2000 conference. The papers focus on building smart components to engineering systems currently available. The term smart in this context indicates physical systems that can interact with their environment and adapt to changes in both space and time. In addition to the technologies stated in the volume title, the papers also discuss adaptive control, pattern recognition, biology, and medicine. Topics include a neural network for segmentation of line drawings into lines of different orientations, evolutionary synthesis of logic functions using multiplexers, visualizing data association using self- organizing feature maps, a fuzzy knowledge model for estimating the depth of anesthesia, prediction of welding droplet release using time series data mining, and critical dimension control in semiconductor manufacturing. Annotation copyrighted by Book News, Inc., Portland, OR.
The Automated Technology for Veri?cation and Analysis (ATVA) international symposium series was initiated in 2003, responding to a growing interest in formal veri?cation spurred by the booming IT industry, particularly hardware design and manufacturing in East Asia. Its purpose is to promote research on automated veri?cation and analysis in the region by providing a forum for int- action between the regional and the international research/industrial commu- ties of the ?eld. ATVA 2005, the third of the ATVA series, was held in Taipei, Taiwan, October 4–7, 2005. The main theme of the symposium encompasses - sign, complexities, tools, and applications of automated methods for veri?cation and analysis. The symposium was co-located and had a two-day overlap with FORTE 2005, which was held October 2–5, 2005. We received a total of 95 submissions from 17 countries. Each submission was assigned to three Program Committee members, who were helped by their subreviewers, for rigorous and fair evaluation. The ?nal deliberation by the P- gram Committee was conducted over email for a duration of about 10 days after nearly all review reports had been collected. In the end, 33 papers were - lectedforinclusionintheprogram.ATVA2005hadthreekeynotespeechesgiven respectively by Amir Pnueli (joint with FORTE 2005), Zohar Manna, and Wo- gang Thomas. The main symposium was preceded by a tutorial day, consisting of three two-hour lectures given also by the keynote speakers.
This book constitutes the thoroughly refereed conference proceedings of the 9th International Conference on Rough Sets and Knowledge Technology, RSKT 2014, held in Shanghai, China, in October 2014. The 70 papers presented were carefully reviewed and selected from 162 submissions. The papers in this volume cover topics such as foundations and generalizations of rough sets, attribute reduction and feature selection, applications of rough sets, intelligent systems and applications, knowledge technology, domain-oriented data-driven data mining, uncertainty in granular computing, advances in granular computing, big data to wise decisions, rough set theory, and three-way decisions, uncertainty, and granular computing.
The pioneering organizers of the ?rst UML workshop in Mulhouse, France inthe summerof1998couldhardlyhaveanticipatedthat,in littleoveradecade, theirinitiativewouldblossomintotoday’shighlysuccessfulMODELSconference series, the premier annual gathering of researchersand practitioners focusing on a very important new technical discipline: model-based software and system engineering. This expansion is, of course, a direct consequence of the growing signi?cance and success of model-based methods in practice. The conferences have contributed greatly to the heightened interest in the ?eld, attracting much young talent and leading to the gradualemergence of its correspondingscienti?c and engineering foundations. The proceedings from the MODELS conferences are one of the primary references for anyone interested in a more substantive study of the domain. The 12th conference took place in Denver in the USA, October 4–9, 2009 along with numerous satellite workshops and tutorials, as well as several other related scienti?c gatherings. The conference was exceptionally fortunate to have three eminent, invited keynote speakers from industry: Stephen Mellor, Larry Constantine, and Grady Booch.
This book constitutes thoroughly revised and selected papers from the 6th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2018, held in Funchal, Madeira, Portugal, in January 2018. The 22 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 101 submissions. They contribute to the development of highly relevant research trends in model-driven engineering and software development such as innovative methods for MDD-based development and testing of web-based applications and user interfaces, support for development of Domain-Specific Languages (DSLs), MDD-based application development on multiprocessor platforms, advances in MDD tooling, formal semantics and behaviour modelling, and MDD-based product-line engineering.
"This book displays how to effectively map and respond to the real-world challenges and purposes which software must solve, covering domains such as mechatronic, embedded and high risk systems, where failure could cost human lives"--Provided by publisher.
This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The field of AI has been expanded enormously during the last years due to that solid theoretical and application results have accumulated. During the first stage of AI development most workers in the field were content with illustrations showing ideas at work on simple problems. Later, as the field matured, emphasis was turned to demonstrations that showed the capability of AI techniques to handle problems of practical value. Now, we arrived at the stage where researchers and practitioners are actually building AI systems that face real-world and industrial problems. This volume provides a set of twenty four well-selected contributions that deal with the application of AI to such real-life and industrial problems. These contributions are grouped and presented in five parts as follows: Part 1: General Issues Part 2: Intelligent Systems Part 3: Neural Networks in Modelling, Control and Scheduling Part 4: System Diagnostics Part 5: Industrial Robotic, Manufacturing and Organizational Systems Part 1 involves four chapters providing background material and dealing with general issues such as the conceptual integration of qualitative and quantitative models, the treatment of timing problems at system integration, and the investigation of correct reasoning in interactive man-robot systems.
