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Before we discuss the issue of the possibility of constructing an intelligent artificial system in the last chapter, we now summarize practical results concerning application areas of AI systems.
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In the monograph we do not present specific AI systems, because they are continuously being introduced in the software market. So, this chapter had to be updated each year.
Conventional means here that they do not need the support of AI techniques.
Certainly the reader has seen crime films in which a blurry photograph made while moving has been processed by a computer system in order to restore a sharp image of a killer.
Such a functionality in the system corresponds to St. Thomas Aquinas’ sensus communis introduced in the previous chapter.
In fact evolutionary computing can be treated as an efficient version of a search strategy.
In this section by reasoning we mean deductive reasoning, whereas later when we discuss the area of machine learning we discuss both deductive and inductive inference.
We use the term sequence in the definition of a planning task. However, it can be a complex of activities, which consists of many activity sequences that are performed in a parallel way.
This scheme can be extended to evolutionary computing introduced in Chap. 5.
Unless the opponent has been irritated and he/she has knocked the chessboard down from the table. However, if we assume that our opponent is well-bred, we can eliminate such a “result” from our considerations.
The notion of natural language is used in computer science in relation to such languages as English, German, Chinese, etc. in order to distinguish the issue of computer processing of such languages from the problem of computer processing of artificial languages, which is much easier. Artificial languages include, for example, programming languages, and formal languages, which have been presented in Chap. 8.
Here we distinguish non-verbal aspects of a language from non-verbal communication, which includes, e.g., body language and facial expression.
It seems that in order to perform such a task, a system should be able to learn via insight into the heart of the matter. Such a way of learning, however, results from understanding the heart of the matter.
In the example we assume that the ontology is constructed with the help of First-Order Logic.
In the sense of proceeding from one proposition to another according to logical rules.
As has been done in our genealogy example above.
Margaret Boden—a professor of cognitive science at the University of Sussex. Her work concerns the overlapping fields of: psychology, philosophy, cognitive science, and AI. She was the Vice-President of the British Academy.
Let us notice that this type of creativity can be simulated via cognitive simulation, i.e., searching a state space.
- Application Areas of AI Systems
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- Chapter 16