12 research outputs found
Proceedings of the ECAI Workshop on Formal Concept Analysis for Artificial Intelligence (FCA4AI)
International audienceFormal Concept Analysis (FCA) is aimed at data analysis and classification. FCA proposes various efficient tools for concept lattice design and visualization, and is related to many research fields and application domains, including several fields of Artificial Intelligence (AI), e.g. knowledge discovery, knowledge representation and reasoning. In recent years, a series of work emerged for extending the possibilities of FCA w.r.t. knowledge processing, e.g. pattern structures and relational context analysis. Such extensions should allow FCA to deal with complex data from the knowledge discovery and the knowledge representation points of view. Moreover, these extensions of the capabilities of FCA offer new possibilities for AI activities in the framework of FCA. Accordingly, this workshop will be interested in two main issues: (i) how can FCA support AI activities and especially knowledge processing and (ii) how can FCA be extended for solving new and complex problems in AI
Pravda a význam: dialektika teorie a praxe
Tarski's semantic conception of truth is arguably the most influential - certainly, most discussed - modern conception of truth. It has provoked many different interpretations and reactions, some thinkers celebrating it for successfully explicating the notion of truth, whereas others have argued that it is no good as a philosophical account of truth. The aim of the thesis is to offer a systematic and critical investigation of its nature and significance, based on the thorough explanation of its conceptual, technical as well as historical underpinnings. The methodological strategy adopted in the thesis reflects the author's belief that in order to evaluate the import of Tarski's conception we need to understand what logical, mathematical and philosophical aspects it has, what role they play in his project of theoretical semantics, which of them hang in together, and which should be kept separate. Chapter 2 therefore starts with a detailed exposition of the conceptual and historical background of Tarski's semantic conception of truth and his method of truth definition for formalized languages, situating it within his project of theoretical semantics, and Chapter 3 explains the formal machinery of Tarski's truth definitions for increasingly more complex languages. Chapters 4-7 form the core of the...Tarského sémantická koncepce pravdy je patrně nevlivnější - určitě nejdiskutovanější - moderní koncepce pravdy, která vzbudila nespočet různých interpretací a reakcí. Zatímco někteří filosofové ji oslavovali jako úspěšnou explikaci pojmu pravdy, jiní argumentovali, že nám neposkytuje adekvátní filosofický výklad tohoto pojmu. Cílem dizertace je podat systematické a kritické prozkoumání povahy a signifikance Tarského koncepce, založené na pečlivé expozici jejich konceptuálních, technických I historických předpokladů. Metodologická strategie aplikována v práci obráží autorovo přesvědčení, že nelze patřičně zhodnotit přínos Tarského koncepce bez pochopení jejich logických, matematických a filosofických aspektů, a toho jakou roli hraji v jeho širším projektu teoretické sémantiky, jak spolu souvisí (případně nesouvisí). Kapitola 2 je detailní expozicí konceptuálního i historického pozadí Tarského koncepce pravdy a metody definovaní pojmu pravdy pro formalizované jazyky, a v kapitole 3 se vysvětluje formální aparát pravdivostních definicí pro 3 typy jazyků různé komplexity. Kapitoly 4-7, které tvoří jádro celé práce, jsou věnovány ústřední otázce signifikance Tarského koncepce. V kapitole 4 se vysvětlují její logicko-matematické aspekty a přínos pro matematickou logiku, v souvislosti s výsledky Kurta...Institute of Philosophy and Religious StudiesÚstav filosofie a religionistikyFilozofická fakultaFaculty of Art
Fast Construction of Relational Features for Machine Learning
Katedra kybernetik
Third International Symposium on Artificial Intelligence, Robotics, and Automation for Space 1994
The Third International Symposium on Artificial Intelligence, Robotics, and Automation for Space (i-SAIRAS 94), held October 18-20, 1994, in Pasadena, California, was jointly sponsored by NASA, ESA, and Japan's National Space Development Agency, and was hosted by the Jet Propulsion Laboratory (JPL) of the California Institute of Technology. i-SAIRAS 94 featured presentations covering a variety of technical and programmatic topics, ranging from underlying basic technology to specific applications of artificial intelligence and robotics to space missions. i-SAIRAS 94 featured a special workshop on planning and scheduling and provided scientists, engineers, and managers with the opportunity to exchange theoretical ideas, practical results, and program plans in such areas as space mission control, space vehicle processing, data analysis, autonomous spacecraft, space robots and rovers, satellite servicing, and intelligent instruments
A manufacturing model to support data-driven applications for design and manufacture
This thesis is primarily concerned with conceptual work on the Manufacturing
Model. The Manufacturing Model is an information model which describes the
manufacturing capability of an enterprise. To achieve general applicability, the
model consists of the entities that are relevant and important for any type of
manufacturing firm, namely: manufacturing resources (e.g. machines, tools,
fixtures, machining cells, operators, etc.), manufacturing processes (e.g. injection
moulding, machining processes, etc.) and manufacturing strategies (e.g. how these
resources and processes are used and organized). The Manufacturing Model is a four
level model based on a de—facto standard (i.e. Factory, Shop, Cell, Station) which
represents the functionality of the manufacturing facility of any firm.
In the course of the research, the concept of data—driven applications has emerged in
response to the need of integrated and flexible computer environments for the
support of design and manufacturing activities. These data—driven applications
require the use of different information models to capture and represent the
company's information and knowledge. One of these information models is the
Manufacturing Model.
The value of this research work is highlighted by the use of two case studies, one
related with the representation of a single machining station, and the other, the
representation of a multi-cellular manufacturing facility of a high performance
company
Using MapReduce Streaming for Distributed Life Simulation on the Cloud
Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design optimized MR streaming algorithms for discrete and continuous versions of Conway’s life according to a general MR streaming pattern. We chose life because it is simple enough as a testbed for MR’s applicability to a-life simulations and general enough to make our results applicable to various lattice-based a-life models. We implement and empirically evaluate our algorithms’ performance on Amazon’s Elastic MR cloud. Our experiments demonstrate that a single MR optimization technique called strip partitioning can reduce the execution time of continuous life simulations by 64%. To the best of our knowledge, we are the first to propose and evaluate MR streaming algorithms for lattice-based simulations. Our algorithms can serve as prototypes in the development of novel MR simulation algorithms for large-scale lattice-based a-life models.https://digitalcommons.chapman.edu/scs_books/1014/thumbnail.jp
Computer science: the hardware software and heart of IT
1st edition, 201
Notes in Pure Mathematics & Mathematical Structures in Physics
These Notes deal with various areas of mathematics, and seek reciprocal
combinations, explore mutual relations, ranging from abstract objects to
problems in physics.Comment: Small improvements and addition