No Knowledge is Simple

What do you think #Knowledge is, when we talk about #ai? pic.twitter.com/yeDOZeUIfA
— ivanjureta (@ivanjureta) January 28, 2018
This short interview on my research on decision making and use of it in companies, was done in 2018 with fnrs.tv, part of the Belgian Fonds de la Recherche Scientifique – FNRS, in Brussels. Each of my first two academic books led to the founding of a spin-off; see the books here.
Let’s assume that there is a situation you observed, and you want to understand the decision that led to it – maybe there is something particularly good about the situation and you want to see how to increase the probability that this happens again, or there is something you would want to prevent from happening…
If competence shortens learning, then its value is proportional to the cost of learning, that is, of iterations that would have been needed to achieve the effects of competence, but without having access to it.
A service-oriented system should be engineered to satisfy the requirements of its stakeholders. Requirements are understood in terms of stakeholder goals, softgoals, quality constraints, preferences, tasks, and domain assumptions. The service-oriented system is viewed in terms of services, mediators, choreographies, and orchestrations, among others. To engineer the system according to requirements, it is necessary to…
In the context of human decision making, a decision is a commitment to a course of action (see the note here); it involves mental states that lead to specific actions. An AI system, as long as it is a combination of statistical learning algorithms and/or logic, and data, cannot have mental states in the same…
Designing effective decision governance systems requires drawing on a wide range of academic disciplines, each of which provides valuable insights into different aspects of decision-making.