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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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Post Graduate School Cognitive Computing in Socio-Technical Systems
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