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Post Graduate School Cognitive Computing in Socio-Technical Systems
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  • Post Graduate School Cognitive Computing in Socio-Technical Systems
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      • P1: Event-Based Adaptive Vision for Sensing Computers
      • P2: Network Principles for Building Cognitive Computing Architectures
      • P3: Embedding Cognitive Functions into Service Robots via Model-Driven Design
      • P4: Systematic Modeling of Utility, Costs and Quality of Service Robotic Skills
      • P5: Explanation of Adaptive Business Processes
      • P6: Semi-automated Process Adaptations in Socio-Technical Systems
      • P7: Knowledge-Based Control of Flexible Processes in Logistics
      • P8: Engineering of Decentrally Controlled Production and Logistics Systems
      • P9: Control of Distributed Production and Logistics Systems Based on Real-time Analysis of Operational Data
      • P10: Cognitive Concepts to Improve Collaboration of Human Operators and Service Robots in Picking Processes
      • P11: Planning of Logistic Systems and Processes Based on Technical and Social Data Sources
      • P12: Workflow-based Arrangement of Decision-making for Autonomous Agents
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    Last modified:
    26. August 2019
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