No Knowledge is Simple

What do you think #Knowledge is, when we talk about #ai? pic.twitter.com/yeDOZeUIfA
— ivanjureta (@ivanjureta) January 28, 2018
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.
Definitions of the concepts derived from the goal concept (including functional and nonfunctional goal, hardgoal, and softgoal) used in requirements engineering are discussed, and precise (and, when appropriate, mathematical) definitions are suggested. The concept of satisficing, associated to softgoals is revisited. A softgoal is satisficed when thresholds of some precise criteria are reached. Satisficing does…
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…
Analysis of temporal properties of nonfunctional – i.e., quality – requirements (NFRs) has not received significant attention. In response, this paper introduces basic concepts and techniques needed for the specification and analysis of time properties of NFRs. Jureta, I.J. and Faulkner, S., 2008, October. Timing Nonfunctional Requirements. In International Conference on Conceptual Modeling (pp. 302-311). Springer, Berlin,…
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.