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Model falsification is a discrete population methodology that is particularly suited to knowledge intensive tasks in open worlds, where uncertainty cannot be precisely defined.
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Creating and maintaining software systems is a knowledge intensive task.
Batch process design is an information and knowledge intensive task.
The use of model falsification for system identification allows for explicit inclusion of engineering heuristics in this knowledge intensive task while also offering robustness to effects of systematic modeling errors that are associated with idealization of complex civil structures.
Engineering design and system operating comprise highly innovative and knowledge-intensive tasks in the design of an eco-industrial park.
Engineering design processes comprise highly creative and knowledge-intensive tasks that involve extensive information exchange and communication among distributed teams.
Semi-automated methods and tools were developed to support labour- and knowledge-intensive tasks involved in deploying SPARQL services.
Engineering design processes are highly creative and knowledge-intensive tasks that involve extensive information exchange and communication among diverse developers.
Clinical decision-support systems (CDSS) are designed to solve knowledge-intensive tasks for supporting decision-making processes.
More generally, the ability to learn from user interactions promises pathways for solving knowledge-intensive tasks ranging from natural language understanding to autonomous robotics.
Product development processes comprise highly creative and knowledge-intensive tasks that involve extensive information exchange and communication among geographically distributed teams.
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