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  • 2019

  • Mainzer, Klaus (2019): Künstliche Intelligenz - Wann übernehmen die Maschinen?. 2. Aufl.. Berlin, Heidelberg: Springer Berlin Heidelberg

    Abstract: Einführung: Was ist KI? -- Eine kurze Geschichte der KI -- Logisches Denken wird automatisch -- Systeme werden zu Experten -- Computer lernen sprechen -- Algorithmen simulieren die Evolution -- Neuronale Netze simulieren Gehirne -- Roboter werden sozial -- Automobile werden autonom -- Fabriken werden intelligent -- Von der natürlichen über die künstliche zur Superintelligenz? Jeder kennt sie. Smartphones, die mit uns sprechen, Armbanduhren, die unsere Gesundheitsdaten aufzeichnen, Arbeitsabläufe, die sich automatisch organisieren, Autos, Flugzeuge und Drohnen, die sich selber steuern, Verkehrs- und Energiesysteme mit autonomer Logistik oder Roboter, die ferne Planeten erkunden, sind technische Beispiele einer vernetzten Welt intelligenter Systeme. Machine Learning verändert unsere Zivilisation dramatisch. Wir verlassen uns immer mehr auf effiziente Algorithmen, weil die Komplexität unserer zivilisatorischen Infrastruktur sonst nicht zu bewältigen ist. Aber wie sicher sind KI-Algorithmen? Diese Herausforderung wird in der 2.Auflage aufgegriffen: Komplexe neuronale Netze werden mit riesigen Datenmengen (Big Data) gefüttert und trainiert. Die Anzahl der dazu notwenigen Parameter explodiert exponentiell. Niemand weiß genau, was sich in diesen „Black Boxes“ im Einzelnen abspielt. Im Machine Learning benötigen wir mehr Erklärung (explainability) und Zurechnung (accountability) von Ursachen und Wirkungen, um ethische und rechtliche Fragen der Verantwortung (z.B. beim autonomen Fahren oder in der Medizin) entscheiden zu können! Seit ihrer Entstehung ist die KI-Forschung mit großen Visionen über die Zukunft der Menschheit verbunden. Sie ist bereits eine Schlüsseltechnologie, die den globalen Wettstreit der Gesellschaftssysteme entscheiden wird. „Künstliche Intelligenz und Verantwortung“ ist eine weitere zentrale Ergänzung der 2. Auflage: Wie sollen wir unsere individuellen Freiheitsrechte in der KI-Welt sichern? Dieses Buch ist ein Plädoyer für Technikgestaltung: KI muss sich als Dienstleistung in der Gesellschaft bewähren

    Keywords: Artificial intelligence, Engineering

  • 2014

  • Jamshidi, Mo (2014): Advance Trends in Soft Computing. Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA. Wcsc; World Conference on Soft Computing. Cham: Springer (Studies in Fuzziness and Soft Computing)

    DOI: https://doi.org/10.1007/978-3-319-02675-6 

    Abstract: This book is the proceedings of the 3rd World Conference on Soft Computing (WCSC), which was held in San Antonio, TX, USA, on December 16-18, 2013. It presents start-of-the-art theory and applications of soft computing together with an in-depth discussion of current and future challenges in the field, providing readers with a 360 degree view on soft computing. Topics range from fuzzy sets, to fuzzy logic, fuzzy mathematics, neuro-fuzzy systems, fuzzy control, decision making in fuzzy environments, image processing and many more. The book is dedicated to Lotfi A. Zadeh, a renowned specialist in signal analysis and control systems research who proposed the idea of fuzzy sets, in which an element may have a partial membership, in the early 1960s, followed by the idea of fuzzy logic, in which a statement can be true only to a certain degree, with degrees described by numbers in the interval [0,1]. The performance of fuzzy systems can often be improved with the help of optimization techniques, e.g. evolutionary computation, and by endowing the corresponding system with the ability to learn, e.g. by combining fuzzy systems with neural networks. The resulting “consortium” of fuzzy, evolutionary, and neural techniques is known as soft computing and is the main focus of this book

    Keywords: Artificial intelligence, Computer vision, Data Mining, Engineering

  • 2009

  • Institute of Electrical and Electronics Engineers; IEEE International Conference on Automation Science and Engineering; Ieee Case; Annual IEEE Conference on Automation Science and Engineering (2009): IEEE International Conference on Automation Science and Engineering, 2009. CASE 2009 ; 22 - 25 Aug. 2009, Bangalore, India. 2009 IEEE International Conference on Automation Science and Engineering (CASE 2009). Bangalore, India, 8/22/2009 - 8/25/2009. Piscataway, NJ: IEEE

     

    Keywords: Automation, Congresses, Engineering, Fertigung
  • Rocks, Claire; Jenkins, Sarah; Studley, Matthew; McGoran, David (2009): 'Heart Robot', a public engagement project. In: Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems 10 (3), S. 427-452. DOI: 10.1075/is.10.3.07roc

    DOI: https://doi.org/10.1075/is.10.3.07roc 

    Abstract: Heart Robot was a public engagement project funded by the Engineering and Physical Sciences Research Council (EPSRC). The aim of the project was to challenge cultural perceptions of robots, and to stimulate thought and debate in members of the general public around research in the field of social and emotional robotics. Fusing the traditions of Bunraku puppetry, the technology of animatronics and the field of artificial emotion and social intelligence, Heart Robot presented a series of entertaining, thought-provoking, and moving performances at fourteen events in the south-west region of the UK between May and December 2008. This paper presents a summary of the independent evaluation of the project. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

    Keywords: Computer Attitudes, Emotions, Engineering, Engineering Psychology, Heart Robot, Künstliche Intelligenz, Mensch-Roboter-Interaktion, Mensch-Technik-Relation, physical sciences, public engagement projects, Robotics, Sciences, Robots, Social intelligence, Soziale Intelligenz

  • 2007

  • Déniz, Oscar; Hernández, Mario; Lorenzo, Javier; Castrillón, Modesto (2007): An engineering approach to sociable robots. In: Journal of Experimental & Theoretical Artificial Intelligence 19 (4), S. 285-306. DOI: 10.1080/09528130701208174

    DOI: https://doi.org/10.1080/09528130701208174 

    Abstract: Robotics researchers and cognitive scientists are becoming more and more interested in so-called sociable robots. These machines normally have expressive power (facial features, voice,...) as well as abilities for locating, paying attention to, and addressing people. The design objective is to make robots which are able to sustain natural interactions with people. This capacity falls within the range classed as social intelligence in humans. This position paper argues that the reproduction of social intelligence, as opposed to other types of human ability, may lead to fragile performance, in the sense that tested cases may produce rather different performances to future (untested) cases and situations. This limitation stems from the fact that our social abilities, which appear early in life, are mainly unconscious in origin. This is in contrast with other human abilities that we carry out using conscious effort, and for which we can easily conceive algorithms and representations. This novel perspective is deemed useful for defining the obstacles and limitations of a field that is generating increasing interest. Taking into account the mentioned issues, a development approach suited to the problem is proposed. The use of this approach is demonstrated in the development of CASIMIRO, a robotic head with basic interaction abilities. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

    Keywords: Algorithms, cognitive scientists, Engineering, engineering approach, Engineering Psychology, Intelligence, Künstliche Intelligenz, Mensch-Roboter-Interaktion, Mensch-Technik-Relation, Robotics, Scientists, Sociable robots, Social intelligence, Soziale Intelligenz

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