Ewa Orłowska on Relational Methods in Logic and Computer Science

Ewa Orłowska on Relational Methods in Logic and Computer Science
Author :
Publisher : Springer
Total Pages : 511
Release :
ISBN-10 : 9783319978796
ISBN-13 : 3319978799
Rating : 4/5 (96 Downloads)

Synopsis Ewa Orłowska on Relational Methods in Logic and Computer Science by : Joanna Golińska-Pilarek

This book is a tribute to Professor Ewa Orłowska, a Polish logician who was celebrating the 60th year of her scientific career in 2017. It offers a collection of contributed papers by different authors and covers the most important areas of her research. Prof. Orłowska made significant contributions to many fields of logic, such as proof theory, algebraic methods in logic and knowledge representation, and her work has been published in 3 monographs and over 100 articles in internationally acclaimed journals and conference proceedings. The book also includes Prof. Orłowska’s autobiography, bibliography and a trialogue between her and the editors of the volume, as well as contributors' biographical notes, and is suitable for scholars and students of logic who are interested in understanding more about Prof. Orłowska’s work.

Relational Methods for Computer Science Applications

Relational Methods for Computer Science Applications
Author :
Publisher : Physica
Total Pages : 293
Release :
ISBN-10 : 9783790818284
ISBN-13 : 3790818283
Rating : 4/5 (84 Downloads)

Synopsis Relational Methods for Computer Science Applications by : Ewa Orlowska

This volume addresses all current aspects of relational methods and their applications in computer science. It presents a broad variety of fields and issues in which theories of relations provide conceptual or technical tools. The contributions address such subjects as relational methods in programming, relational constraints, relational methods in linguistics and spatial reasoning, relational modelling of uncertainty. All contributions provide the readers with new and original developments in the respective fields. The reader thus gets an interdisciplinary spectrum of the state of the art of relational methods and implementation-oriented solutions of problems related to these areas.

Transactions on Rough Sets VII

Transactions on Rough Sets VII
Author :
Publisher : Springer Science & Business Media
Total Pages : 389
Release :
ISBN-10 : 9783540716624
ISBN-13 : 3540716629
Rating : 4/5 (24 Downloads)

Synopsis Transactions on Rough Sets VII by : Victor W. Marek

Together with volume VI of the Transactions on Rough Sets series, this book commemorates the life and work of Zdzislaw Pawlak (1926-2006). It presents papers that reflect the profound influence of a number of research initiatives by Professor Pawlak, introducing a number of advances in the foundations and applications of AI, engineering, logic, mathematics, and science, which have had significant implications in a number of research areas.

Rough Sets

Rough Sets
Author :
Publisher : Springer Nature
Total Pages : 320
Release :
ISBN-10 : 9783030873349
ISBN-13 : 303087334X
Rating : 4/5 (49 Downloads)

Synopsis Rough Sets by : Sheela Ramanna

The volume LNAI 12872 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2021, Bratislava, Slovak Republic, in September 2021. The conference was held as a hybrid event due to the COVID-19 pandemic. The 13 full paper and 7 short papers presented were carefully reviewed and selected from 26 submissions, along with 5 invited papers. The papers are grouped in the following topical sections: core rough set models and methods, related methods and hybridization, and areas of applications.

Theory and Applications of Relational Structures as Knowledge Instruments

Theory and Applications of Relational Structures as Knowledge Instruments
Author :
Publisher : Springer
Total Pages : 280
Release :
ISBN-10 : 9783540246152
ISBN-13 : 3540246150
Rating : 4/5 (52 Downloads)

Synopsis Theory and Applications of Relational Structures as Knowledge Instruments by : Harrie de Swart

Relational structures abound in our daily environment: relational databases, data mining, scaling procedures, preference relations, etc. As the documentation of scientific results achieved within the European COST Action 274, TARSKI, this book advances the understanding of relational structures and the use of relational methods in various application fields. The 12 revised full papers were carefully reviewed and selected for presentations. The papers are devoted to mechanization of relational reasoning, relational scaling and preferences, and algebraic and logical foundations of real world relations.

Computational Collective Intelligence

Computational Collective Intelligence
Author :
Publisher : Springer Nature
Total Pages : 863
Release :
ISBN-10 : 9783031160141
ISBN-13 : 3031160142
Rating : 4/5 (41 Downloads)

Synopsis Computational Collective Intelligence by : Ngoc Thanh Nguyen

This book constitutes the refereed proceedings of the 14th International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 56 full papers and 10 short papers were carefully reviewed and selected from 420 submissions. The papers are grouped in topical ​sections on collective intelligence and collective decision-making; deep learning techniques; natural language processing; data minning and machine learning; knowledge engineering and semantic web; computer vision techniques; social networks and intelligent systems; cybersecurity and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; applications for industry 4.0.

Dual Tableaux: Foundations, Methodology, Case Studies

Dual Tableaux: Foundations, Methodology, Case Studies
Author :
Publisher : Springer Science & Business Media
Total Pages : 517
Release :
ISBN-10 : 9789400700055
ISBN-13 : 9400700059
Rating : 4/5 (55 Downloads)

Synopsis Dual Tableaux: Foundations, Methodology, Case Studies by : Ewa Orlowska

This book presents logical foundations of dual tableaux together with a number of their applications both to logics traditionally dealt with in mathematics and philosophy (such as modal, intuitionistic, relevant, and many-valued logics) and to various applied theories of computational logic (such as temporal reasoning, spatial reasoning, fuzzy-set-based reasoning, rough-set-based reasoning, order-of magnitude reasoning, reasoning about programs, threshold logics, logics of conditional decisions). The distinguishing feature of most of these applications is that the corresponding dual tableaux are built in a relational language which provides useful means of presentation of the theories. In this way modularity of dual tableaux is ensured. We do not need to develop and implement each dual tableau from scratch, we should only extend the relational core common to many theories with the rules specific for a particular theory.

Theory and Applications of Relational Structures as Knowledge Instruments II

Theory and Applications of Relational Structures as Knowledge Instruments II
Author :
Publisher : Springer
Total Pages : 381
Release :
ISBN-10 : 9783540692249
ISBN-13 : 354069224X
Rating : 4/5 (49 Downloads)

Synopsis Theory and Applications of Relational Structures as Knowledge Instruments II by : Harrie de Swart

This book constitutes the major results of the EU COST (European Cooperation in the field of Scientific and Technical Research) Action 274: TARSKI - Theory and Applications of Relational Structures as Knowledge Instruments - running from July 2002 to June 2005. The papers are devoted to further understanding of interdisciplinary issues involving relational reasoning by addressing relational structures and the use of relational methods in applicable object domains.

Incomplete Information: Structure, Inference, Complexity

Incomplete Information: Structure, Inference, Complexity
Author :
Publisher : Springer Science & Business Media
Total Pages : 415
Release :
ISBN-10 : 9783662049976
ISBN-13 : 366204997X
Rating : 4/5 (76 Downloads)

Synopsis Incomplete Information: Structure, Inference, Complexity by : Stephane P. Demri

This monograph presents a systematic, exhaustive and up-to-date overview of formal methods and theories for data analysis and inference inspired by the concept of rough set. Throughout, Demri studies structures with incomplete information from the logical, algebraic and computational perspective. The formalisms developed are non-invasive in that only the actual information that is needed in the process of analysis without external sources of information being required. The book is self-contained to a large degree, providing detailed derivations of most of the technical results, and is intended for researchers, lecturers and graduate students.