Abstraction in artificial intelligence and complex systems, by Lorenza Saitta, Jean-Daniel Zucker (auth.)

By Lorenza Saitta, Jean-Daniel Zucker (auth.)

Abstraction is a basic mechanism underlying either human and synthetic conception, illustration of data, reasoning and studying. This mechanism performs a very important position in lots of disciplines, particularly laptop Programming, common and synthetic imaginative and prescient, advanced platforms, man made Intelligence and desktop studying, artwork, and Cognitive Sciences. This booklet first offers the reader with an summary of the notions of abstraction proposed in a number of disciplines through evaluating either commonalities and changes. After discussing the characterizing homes of abstraction, a proper version, the KRA version, is gifted to catch them. This version makes the concept of abstraction simply acceptable through the advent of a suite of abstraction operators and abstraction styles, reusable throughout assorted domain names and functions. it's the effect of abstraction in man made Intelligence, advanced platforms and computing device studying which creates the middle of the publication. A basic framework, in line with the KRA version, is gifted, and its pragmatic strength is illustrated with 3 case reports: Model-based prognosis, Cartographic Generalization, and studying Hierarchical Hidden Markov Models.

Show description

Read or Download Abstraction in artificial intelligence and complex systems, 1st Edition PDF

Similar data mining books

The Role of Systems Methodology in Social Science Research, 1st Edition

Whereas common structures examine has had a substantial impression on study within the social sciences, this influence has been regularly conceptual and has now not served to supply the operational and methodological aids for learn that are attainable. additionally, lots of these systems-oriented instructions and effects which do influence social technology study have constructed inde­ pendently and in piecemeal model in contemporary many years.

Advances in Intelligent Data Analysis XIII: 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 -- November 1, 2014. Proceedings (Lecture Notes in Computer Science)

This ebook constitutes the refereed convention complaints of the thirteenth overseas convention on clever information research, which was once held in October/November 2014 in Leuven, Belgium. The 33 revised complete papers including three invited papers have been conscientiously reviewed and chosen from 70 submissions dealing with all types of modeling and research equipment, regardless of self-discipline.

Process Mining Techniques in Business Environments: Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining (Lecture Notes in Business Information Processing)

After a quick presentation of the state-of-the-art of process-mining concepts, Andrea Burratin proposes diverse eventualities for the deployment of process-mining initiatives, and particularly a characterization of businesses by way of their approach information. The ways proposed during this booklet belong to 2 various computational paradigms: first to vintage "batch procedure mining," and moment to newer "online method mining.

Real-World Machine Learning

Precis Real-World computer studying is a pragmatic consultant designed to educate operating builders the paintings of ML undertaking execution. with no overdosing you on educational conception and intricate arithmetic, it introduces the daily perform of laptop studying, getting ready you to effectively construct and install strong ML platforms.

Additional resources for Abstraction in artificial intelligence and complex systems, 1st Edition

Sample text

Abstract words denote ideas and concepts that cannot be experienced through our senses, such as “freedom” or “beauty”; on the contrary, concrete words denote objects that are part of the sensory reality, such as “chair” or “car”. As in the philosophical context, also in languages it is not always easy to classify a term as abstract or concrete. Moreover, this classification is dependent on the cultural background where the language originates. 2 Natural Language 19 (they viewed the world through the senses) [47].

An example is provided by the arithmetic operations, which, at the beginning, are learned as procedures, but then become objects whose properties (for instance, associativity) can be investigated. This transition is called encapsulation [142] or reification [482]. Ferrari argues that generalization, decontextualization and reification are all basic components of abstraction in Mathematics, but that abstraction cannot be identified with any single one of them. For instance, generalization, defined as an extensional inclusion relation, cannot exhaust the abstraction process, which also includes recognition of common properties, adoption of a compact axiom set, and definition of a notation systems to deal with newly defined concepts.

Finally, defining the granularity of a spatial region is a classical form of abstraction. According to Hobbs [252], granularity is a means to retrieve a simplified representation of a domain from more complex, richer representations. Spatial and temporal granularities are closely related to the concept of grain-size in a local spatial context, defined by Schmidtke [478]. Objects that are smaller than the grain-size can be disregarded as unimportant details. If objects smaller than the grain-size need to be accessed, a change of context is necessary: zooming out of a scene, a larger area is covered, but small details are lost, whereas zooming into a scene, smaller details are magnified, and objects further away become irrelevant.

Download PDF sample

Rated 4.92 of 5 – based on 10 votes

Categories: Data Mining