The general objective of the research is to determine advances related Generative Artificial Intelligence. Methodology, in this research, 47 documents have been selected, carried out period 2014 - 2023; including: scientific articles, review articles and information from websites recognized organizations. Results, Intelligence demonstrating its importance various human activities, making it nec...

Game playing is one of the classic problems of artificial intelligence. The Siguo game is an emerging field of research in the area of game-playing programs. It provides a new test bed for artificial intelligence with imperfect information. To improve search efficiency for Siguo with more branches and the uncertain payoff in the game tree, this paper presents a modified Alpha-Beta Search algori...

Corporate credit-rating prediction using statistical and artificial intelligence techniques has received considerable attentions in the literature. Different from the thoughts of various techniques for adopting support vector machines as binary classifiers originally, a new method, based on support vector domain combined with fuzzy clustering algorithm for multiclassification, is proposed in th...

A conceptual graph (CG) is a graph representation for logic based on the semanticnetworks of artificial intelligence and the existential graphs of Charles Sanders Peirce.Several versions of CGs have been designed and implemented over the past thirtyyears. The simplest are the typeless core CGs, which correspond to Peirce’s originalexistential graphs. More common are the exte...

Recently the use of the Monte-Carlo Tree Search algorithm, and in particular its most famous implementation, the Upper Confidence Tree can be seen has a key moment for artificial intelligence in games. This family of algorithms provides huge improvements in numerous games, such as Go, Havannah, Hex or Amazon. In this paper we study the use of this algorithm on the game of Mr Jack and in particu...

The goal of artificial intelligence is to develop a system that could deal with intelligent tasks in autonomous way. This goal is not achieved, but through this research many interesting algorithms have been investigated and developed, and each of them can provide some specific aspect of intelligence. For example, theorem proving [1], task solving [1], expert systems [1], pattern and speech rec...

General Game Playing (GGP) is a specially designed environment for creating and testing competitive agents which can play variety of games. The fundamental motivation is to advance the development of various artificial intelligence methods operating together in a previously unknown environment. This approach extrapolates better on real world problems and follows artificial intelligence paradigm...

--This paper presents the genetic algorithm approach to adaptive optimal economic dispatch of Electrical Power Systems. Artificial Immune System Algorithms, also termed as the machine learning approach to Artificial Intelligence, are powerful stochastic optimization techniques with potential features of random search, hill climbing, statistical sampling and competition. Artificial immune system...