Hybrid intelligent system

Today we enter the exciting world of Hybrid intelligent system. Throughout history, Hybrid intelligent system has been the object of study, admiration and controversy. Since its inception, it has aroused the curiosity of the most restless minds, who have sought to unravel its mysteries and understand its impact on society. Through this article, we propose to explore the different aspects related to Hybrid intelligent system, from its origin to its relevance today. We will delve into its roots, analyze its various facets and reflect on its influence on human development. Hybrid intelligent system is a fascinating topic that deserves to be explored from multiple perspectives, and it is our desire to offer an exhaustive analysis that contributes to the enrichment of knowledge on this issue.

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Hybrid intelligent system denotes a software system which employs, in parallel, a combination of methods and techniques from artificial intelligence subfields, such as:

From the cognitive science perspective, every natural intelligent system is hybrid because it performs mental operations on both the symbolic and subsymbolic levels. For the past few years, there has been an increasing discussion of the importance of A.I. Systems Integration. Based on notions that there have already been created simple and specific AI systems (such as systems for computer vision, speech synthesis, etc., or software that employs some of the models mentioned above) and now is the time for integration to create broad AI systems. Proponents of this approach are researchers such as Marvin Minsky, Ron Sun, Aaron Sloman, Angelo Dalli and Michael A. Arbib.

An example hybrid is a hierarchical control system in which the lowest, reactive layers are sub-symbolic. The higher layers, having relaxed time constraints, are capable of reasoning from an abstract world model and performing planning.

Intelligent systems usually rely on hybrid reasoning processes, which include induction, deduction, abduction and reasoning by analogy.

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