Our numerical experiments show that the method is very efficient in solving instances of this problem with respect to both the problem size and the computational time.
As mentioned above, to solve the master problem, solving one PSPDL instance for each possible deadline is required.
Therefore, phenotype is a product of both self-referential problem solving in its first instance, and filtering selection of the residue.
Apart from being models for analyzing in different themes, some applications are also instances of problem solving in AI.
There are many instances where problem solving became the next big idea, can you name any?
By efficiently recalling similar past instances of problem solving and their contexts, intelligent agents are immediately provided with implicit knowledge about relevance, encoded in the retrieved contexts and, in the same time, with more possibilities to reduce the instantiation uncertainty of general knowledge when applied to specific problems.
In the vocational context, for instance, everyday problem solving in back-office departments has been identified as a main source of everyday work-related stress as vocational problems provoke states of high psychological arousal and negative emotional states (Rausch et al. 2015).
Knowledge representation approaches must therefore preserve to the extent possible, the context of a problem-solving instance.
Losing context creates difficulties with construing meaning (which is context-dependent by definition) and widens the knowledge gap between the representation itself and the reality of a future problem-solving instance.
This analysis can be generalized to other problem domains where a set of features characterize instances and several problem solving heuristics are available.
First, we apply three network aggregation techniques to decrease the problem size, which enables to solve instances on the complete Dutch network within satisfactory computation times.
