Constraint solving is applied in different application contexts. Examples thereof are the configuration of complex products and services, the determination of production schedules …
“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …
Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …
Knowledge-based Configuration incorporates knowledge representation formalisms to capture complex product models and reasoning methods to provide intelligent interactive …
A Felfernig, M Schubert, C Zehentner - AI EDAM, 2012 - cambridge.org
Constraint sets can become inconsistent in different contexts. For example, during a configuration session the set of customer requirements can become inconsistent with the …
J Amilhastre, H Fargier, P Marquis - Artificial Intelligence, 2002 - Elsevier
Most of the algorithms developed within the Constraint Satisfaction Problem (CSP) framework cannot be used as such to solve interactive decision support problems, like …
The complexity of the product assortments offered by on-line selling platforms makes selection a challenging task. Customers differ in respect to expertise and product …
J Tiihonen, A Felfernig - Journal of intelligent information systems, 2017 - Springer
Mass customization as a state-of-the-art production paradigm aims to produce individualized, highly variant products and services with nearly mass production costs. A …
Declarative process models define the behaviour of business processes as a set of constraints. Declarative process discovery aims at inferring such constraints from event logs …