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Optimisation of complex product innovation processes based on trend models with three-valued logic

Published: January 15, 2026 | arXiv ID: 2601.10768v1

By: Nina Bočková, Barbora Volná, Mirko Dohnal

Potential Business Impact:

Helps predict how new inventions will change.

Business Areas:
Artificial Intelligence Artificial Intelligence, Data and Analytics, Science and Engineering, Software

This paper investigates complex product-innovation processes using models grounded in a set of heuristics. Each heuristic is expressed through simple trends -- increasing, decreasing, or constant -- which serve as minimally information-intensive quantifiers, avoiding reliance on numerical values or rough sets. A solution to a trend model is defined as a set of scenarios with possible transitions between them, represented by a transition graph. Any possible future or past behaviour of the system under study can thus be depicted by a path within this graph.

Country of Origin
🇨🇿 Czech Republic

Page Count
15 pages

Category
Computer Science:
Artificial Intelligence