No Knowledge is Simple

What do you think #Knowledge is, when we talk about #ai? pic.twitter.com/yeDOZeUIfA
— ivanjureta (@ivanjureta) January 28, 2018
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.
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…
Being entitled to make decisions carries with it the responsibility for outcomes of actions that the decisions led to. Accountability can be implemented through decision governance by defining responsibilities for outcomes of decisions. The idea that decision responsibilities are the counterpart to decision rights is easy to understand. However, defining useful decision responsibilities involves finding…
There is no single definition of the term “evidence”, and trying to make one isn’t the purpose of this text. But there are ways of telling if something might be evidence, and knowing when it clearly isn’t. Such knowledge helps you develop a taste, so to speak, in evidence. Isn’t that valuable, given how frequently you may be giving evidence to support your ideas, and how frequently others do the same to you?
The vision for self-adaptive systems (SAS) is that they should continuously adapt their behavior at runtime in response to changing user’s requirements, operating contexts, and resource availability. Realizing this vision requires that we understand precisely how the various steps in the engineering of SAS depart from the established body of knowledge in information systems engineering….
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…