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Computer Sciences
Artificial intelligence
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Computer Sciences
Artificial intelligence

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From Event-Driven Business Process Management to Ubiquitous Complex Event Processing
Computer Sciences (Artificial intelligence)
Rainer von Ammon
Date of upload:
29.10.2015
Co-author:
Rüdiger Klein, Miriam Leis, Behrooz Mobasheri, Themis Palpanas, Bernhard Seeger et al.
Abstract:
Pilot Project "Ubiquitous Complex Event Processing“ interdisciplinary with  computational socio-geonomics, neuroscience, epigenetics, brain research, epidemic research, weather/global catastrophe emergency management etc.
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Ubiquitous Complex Event Processing in Exocortex Applications - uCepCortex
Computer Sciences (Artificial intelligence)
Rainer von Ammon
Date of upload:
29.10.2015
Co-author:
Abstract:
The main idea of the uCepCortex project is to enhance human abilities by a complex cognitive system which adds and supplements senses and integrates the information of these senses for an optimal output, thereby overcoming the limitations of the human brain. Its typical limitations are: the amount of events that can be processed at any one time: The human brain can only process around 120.000 events per second unconsciously and less than ten consciously; the number of event types we can consciously integrate at any one time: integrating of multiple information sources requires tracking, memorizing and retrieving of past, recent and current events; the performance and scalability of the event processing and the correlation of actually meaningless basic events to senseful complex events; the sensitivity ranges (modalities) of the five senses what a human can hear, see, smell, taste and feel; the degeneration of the number and the sensitivity of senses: loss or damage due to aging, illness or accident and the feasibility and manageability is missing to substitute or add additional senses.
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Event-Driven Business Process Management
Computer Sciences (Artificial intelligence)
Rainer von Ammon
Date of upload:
29.10.2015
Co-author:
Opher Etzion, Nenad Stojanovic
Abstract:
Reference Model, Reference Architecture, Business Processes as Services, Domain Specific Reference Models for Event Patterns
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