4th International Workshop on Analogical and Inductive Inference, AII '94, 5th International Workshop on Algorithmic Learning Theory, ALT '94, Reinhardsbrunn Castle, Germany, October 10 - 15, 1994. Proceedings
4th International Workshop on Analogical and Inductive Inference, AII '94, 5th International Workshop on Algorithmic Learning Theory, ALT '94, Reinhardsbrunn Castle, Germany, October 10 - 15, 1994. Proceedings
This volume presents the proceedings of the Fourth International Workshop on Analogical and Inductive Inference (AII '94) and the Fifth International Workshop on Algorithmic Learning Theory (ALT '94), held jointly at Reinhardsbrunn Castle, Germany in October 1994. (In future the AII and ALT workshops will be amalgamated and held under the single title of Algorithmic Learning Theory.) The book contains revised versions of 45 papers on all current aspects of computational learning theory; in particular, algorithmic learning, machine learning, analogical inference, inductive logic, case-based reasoning, and formal language learning are addressed.
This volume contains the text of the five invited papers and 16 selected contributions presented at the third International Workshop on Analogical and Inductive Inference, AII `92, held in Dagstuhl Castle, Germany, October 5-9, 1992. Like the two previous events, AII '92 was intended to bring together representatives from several research communities, in particular, from theoretical computer science, artificial intelligence, and from cognitive sciences. The papers contained in this volume constitute a state-of-the-art report on formal approaches to algorithmic learning, particularly emphasizing aspects of analogical reasoning and inductive inference. Both these areas are currently attracting strong interest: analogical reasoning plays a crucial role in the booming field of case-based reasoning, and, in the fieldof inductive logic programming, there have recently been developed a number of new techniques for inductive inference.
This book describes the research of the authors over more than a decade on an end-to-end methodology for the design and development of Web Information Systems (WIS). It covers syntactics, semantics and pragmatics of WIS, introduces sophisticated concepts for conceptual modelling, provides integrated foundations for all these concepts and integrates them into the co-design method for systematic WIS development. WIS, i.e. data-intensive information systems that are realized in a way that arbitrary users can access them via web browsers, constitute a prominent class of information systems, for which acceptance by its a priori unknown users in varying contexts with respect to the presented content, the ease of functionality provided and the attraction of the layout adds novel challenges for modelling, design and development. This book is structured into four parts. Part I, Web Information Systems – General Aspects, gives a general introduction to WIS describing the challenges for their development, and provides a characterization by six decisive aspects: intention, usage, content, functionality, context and presentation. Part II, High-Level WIS Design – Strategic Analysis and Usage Modelling with Storyboarding, introduces methods for high-level design of WIS covering strategic aspects and the storyboarding method, which is discussed from syntactic, semantic and pragmatic perspectives. Part III, Conceptual WIS Design – Rigorous Modelling of Web Information Systems and their Layout with Web Interaction Types and Screenography, continues with conceptual design of WIS including layout and playout. This introduces the decisive web interaction types, the screenography method and adaptation aspects. The final Part IV, Rationale of the Co-Design Methodology and Systematic Development of Web Information Systems, describes the co-design method for WIS development and its application for the systematic engineering of systems. The book addresses the research community, and at the same time can be used for education of graduate students and as methodological support for professional WIS developers. For the WIS research community it provides methods for WIS modelling on all levels of abstraction including theoretical foundations and inference mechanisms as well as a sophisticated end-to-end methodology for systematic WIS engineering from requirements elicitation over conceptual modelling to aspects of implementation, layout and playout. For students and professional developers the book can be used as a whole for educational courses on WIS design and development, as well as for more specific courses on conceptual modelling of WIS, WIS foundations and reasoning, co-design and WIS engineering or WIS layout and playout development.
These are the conference proceedings of the 4th International Conference on Discovery Science (DS 2001). Although discovery is naturally ubiquitous in s- ence, and scientific discovery itself has been subject to scientific investigation for centuries, the term Discovery Science is comparably new. It came up in conn- tion with the Japanese Discovery Science project (cf. Arikawa's invited lecture on The Discovery Science Project in Japan in the present volume) some time during the last few years. Setsuo Arikawa is the father in spirit of the Discovery Science conference series. He led the above mentioned project, and he is currently serving as the chairman of the international steering committee for the Discovery Science c- ference series. The other members of this board are currently (in alphabetical order) Klaus P. Jantke, Masahiko Sato, Ayumi Shinohara, Carl H. Smith, and Thomas Zeugmann. Colleagues and friends from all over the world took the opportunity of me- ing for this conference to celebrate Arikawa's 60th birthday and to pay tribute to his manifold contributions to science, in general, and to Learning Theory and Discovery Science, in particular. Algorithmic Learning Theory (ALT, for short) is another conference series initiated by Setsuo Arikawa in Japan in 1990. In 1994, it amalgamated with the conference series on Analogical and Inductive Inference (AII), when ALT was held outside of Japan for the first time.
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