The historical origin of the Artificial Intelligence (AI) is usually established in the Dartmouth Conference, of 1956. But we can find many more arcane origins [1]. Also, we can consider, in more recent times, very great thinkers, as Janos Neumann (then, John von Neumann, arrived in USA), Norbert Wiener, Alan
Usually, the problems in AI may be many times related to Philosophy of Mind, and perhaps because this reason may be in essence very disputable. So, for instance, the famous question: Can a machine think? It was proposed by Alan Turing [16]. And it may be the more decisive question,
The current paper starts from the concept of relatedness as an act of signifying: everything inside a house signifies. The metaphorical type of architecture that we have attempted to construct aims at viewing the types of objects within a house as linking knots in the web of the house, while
This paper refers to the morphological analysis of words, as an important process in the domain of natural language processing. We will present the classical solution, based on the use of inflected paradigms and of an extended data base, containing all roots of the words, and then there are emphasized
The development of efficient and flexible agent-based medical diagnosis systems represents a recent research direction. Medical multiagent systems may improve the efficiency of traditionally developed medical computational systems, like the medical expert systems. In our previous researches, a novel cooperative medical diagnosis multiagent system called CMDS (Contract Net Based Medical
Artificial Intelligence requires Logic. But its Classical version shows too many insufficiencies. So, it is absolutely necessary to introduce more sophisticated tools, such as Fuzzy Logic, Modal Logic, Non-Monotonic Logic, and so on [2]. Among the things that AI needs to represent are Categories, Objects, Properties, Relations between objects, Situations,
Until recently, it was believed that to learn/teach another language, it is sufficient for a person to know the grammar of another language in detail, have a good command of its vocabulary, and be able to pronounce the words, phrases and sentences well. However, later it turned out not to
In ACT R, activation is defined as the degree to which past experiences and current context indicate that chunk will be useful at any particular moment. To find whether activation is a voluntary task or not different views were discussed. It was found that the concept of voluntary should be
The number of words a native speaker of a language knows is incredibly vast. However, this is not just word that represents mental lexicon. Words have properties to which in a very complex way they are associated. This paper reviews the related literature and different perspectives on what mental lexicon
