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Erschienen in:
Vorbild Gehirn – Randbedingungen für eine kognitive Architektur Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Artificial Intelligence – The Big Picture

verfasst von : David Abele, Sara D’Onofrio

Erschienen in: Cognitive Computing

Verlag: Springer Fachmedien Wiesbaden

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Abstract

This article presents an introduction to key concepts in the field of artificial intelligence and how they relate to each other. It offers a scheme to assess the maturity levels of current and future technologies or applications and lays out why today’s solutions cannot be reasonably considered intelligent. At its heart, the article includes an overview of fundamental solution approaches, the resulting capabilities, required enablers and the critical aspects of robustness, transparency and trust of produced results. Using novel ways to organize existing knowledge, it aims to enable the reader to accurately separate different notions and to gain a broad understanding of the key concepts under consideration. Based on a more comprehensive framework, it is deliberately limited in scope to provide a well-rounded overview to help the reader identify topics on which more detailed information should be sought out.

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Vorheriges Kapitel Vorbild Gehirn – Randbedingungen für eine kognitive Architektur
Nächstes Kapitel Artificial Intelligence – The Mindfire Foundation and Other Initiatives
Fußnoten
1
Throughout this text the term artificial intelligence and its popular abbreviation AI will be used interchangeably.
 
3
The ability to deal with complexity is implicitly taken into account by this model. More complex environments tend to require more mature capabilities on both axis of the model.
 
4
The model is applicable for both, biological and artificial systems.
 
5
“True” was purposely placed in quotation marks, as it has not been clearly defined what exactly an artificial intelligence is.
 
6
Note that, in practice, several different approaches may be used in combination to accomplish the best results. This deliberate categorization is based on a thorough literature analysis that reflects the understanding of the authors. It is not a final state, but rather a dynamic wheel that must be continuously adjusted to incorporate future developments.
 
7
Note that, in today’s machine learning systems, the learning part usually takes place in a distinct training phase and not during normal operation (depending on the chosen learning strategy). It is, thus, not equivalent to the way humans learn on the fly.
 
8
While pre-trained models are increasingly more prevalent, deploying organizations will mostly still have to train models for a particular task or context.
 
9
Similar difficulties can also routinely be observed in large IT organizations running traditional information technology, where it is not uncommon to have a number of legacy systems in operation that are nearly impossible to decommission, mainly for the reason that no one knows precisely what services they support and for whom.
 
10
The process of combining and rendering explicit valuable information contained in various datasets, interpreting it and enhancing/enriching it with additional information.
 
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Metadaten
Titel
Artificial Intelligence – The Big Picture
verfasst von
David Abele
Sara D’Onofrio
Copyright-Jahr
2020
Buch
Cognitive Computing

Print ISBN: 978-3-658-27940-0

Electronic ISBN: 978-3-658-27941-7

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-658-27941-7_2

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