This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.

The operation of understanding is the fundamental methodical procedure of hermeneutics and is usually seen as contradiction to scientific explanation by the usage of mathematical models. Yet understanding is the basic way in which humans organize their everyday practice, namely by understanding other people and social situations. In this book the authors demonstrate how an integration of hermeneutical understanding and scientific explanation can be done via the construction of suited geometrical models with neural networks of processes of understanding. In this sense the authors develop some kind of mathematical hermeneutics. Connecting links for the integration of the two methodical poles are the developments of particular models of Artificial Intelligence (AI), which are able to perform certain tasks of understanding.

This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.

This book offers a radical new approach for the understanding of communication. By using the theoretical framework of complex systems theory communication is defined as the interplay of social and cognitive dynamics: communicators are modelled as complex cognitive systems who interact according to social rules and generate communicative systems. Messages generate meaning, which is understood as an attractor in the cognitive system of the receiver. Information is measured via the difference between a factual message and the message expected by the receiver.

This book offers a radical new theoretical approach for the understanding of communication. The theory is operationalized by the application of certain computer programs, namely Soft Computing programs like cellular automata and artificial neural nets. In many examples the authors demonstrate how it is possible to model and analyze communicative processes, such as social combined with cognitive ones.

The operation of understanding is the fundamental methodical procedure of hermeneutics and is usually seen as contradiction to scientific explanation by the usage of mathematical models. Yet understanding is the basic way in which humans organize their everyday practice, namely by understanding other people and social situations. In this book the authors demonstrate how an integration of hermeneutical understanding and scientific explanation can be done via the construction of suited geometrical models with neural networks of processes of understanding. In this sense the authors develop some kind of mathematical hermeneutics. Connecting links for the integration of the two methodical poles are the developments of particular models of Artificial Intelligence (AI), which are able to perform certain tasks of understanding.

Dieses Buch gibt Orientierungen und Hilfestellungen, wie man bewusst an den eigenen kommunikativen Fahigkeiten arbeiten und diese verbessern kann. Wie bereitet man einen Vortrag vor, was ist bei Medien zu beachten, wie geht man mit Nervositat um, wie erfasst man Stimmungen bei den Zuhoerern? Wie erkennt man die eigene Rolle in einer sozialen Gruppe, wie verarbeitet man kommunikative Misserfolge und wie lernt man aus eigenen Fehlern? Und vor allem: Wie lernt man soziale, kommunikative Situationen und sich selbst einzuschatzen, um als eigenstandige Persoenlichkeit wahrgenommen zu werden und zu uberzeugen? Um diese Fahigkeiten zu lernen, ist es insbesondere wichtig, kommunikative Situationen und kommunikative Prozesse richtig einschatzen zu koennen. Auch dazu werden hier verschiedene Hinweise gegeben, die fur das Verstandnis situationsbedingter und themenspezifischer Kommunikationen und deren spezifische Schwierigkeiten eine hilfreiche Orientierung geben. Zusatzliche Fragen per App: Laden Sie die Springer Nature Flashcards-App kostenlos herunter und nutzen Sie exklusives Zusatzmaterial als Printbuchkaufer, um Ihr Wissen zu prufen.

In diesem Buch geht es um die Programmiertechniken, die zur Implementation sog. naturanaloger Verfahren erforderlich sind. Dabei handelt es sich um Zellularautomaten, Boolesche Netze, Evolutionare Algorithmen, Simulated Annealing, Fuzzy-Methoden und Neuronale Netze. Der Band ist wegen seiner Konzentration auf Programmiertechniken ein Erganzungsband zu dem Buch Modellierung von Komplexitat durch naturanaloge Verfahren . Es werden keine speziellen Programmierkenntnisse vorausgesetzt, sondern nur die Kenntnis einer der heute ublichen Sprachen wie JAVA oder C#. Die Anleitungen fur das Programmieren sind in einem Pseudocode geschrieben, der auch fur Anfanger verstandlich ist und keine bestimmte Sprache voraussetzt. Nach erfolgreicher Lekture sind die Leser in der Lage, selbst die genannten Modelle zu programmieren."