Artificial intelligent

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines, that work and react like humans. Some of the computers with artificial intelligence are designed for include Speech recognition ,Learning , Planning , Problem solving.

In my personal opinion, the most beneficial Artificial Intelligent to replicate in a robot is Logical Mathematical intelligent. Logical Mathematical Intelligent is the ability to calculate, quantify, consider propositions and hypotheses, and carry out complete mathematical operations. It enables us to perceive relationships and connections and to use abstract, symbolic thought; sequential reasoning skills; and inductive and deductive thinking patterns. Logical intelligence is usually well developed in mathematicians, scientists, and detectives. Young adults with lots of logical intelligence are interested in patterns, categories, and relationships. They are drawn to arithmetic problems, strategy games and experiments. The reasons i think That logical Mathematical Intelligent is the most beneficial to replicate in a robot is because a robot needs to be able to think about the task at hand and to be able to preform mathematical equations that not normal human beings would be able to preform.

The most challenging piece of Artificial intelligence that cost be implemented in a robot is Verbal-Linguistic Intelligence. Verbal Linguistic intelligence is the ability to think in words and to use language to express and appreciate complex meanings.Verbal Linguistic intelligence allows us to understand the order and meaning of words and to apply meta-linguistic skills to reflect on our use of language. Verbal Linguistic intelligence is the most widely shared human competence and is evident in poets, novelists, journalists, and effective public speakers. Young adults with this kind of intelligence enjoy writing, reading, telling stories or doing crossword puzzles. The reasons that this would be most complicated to reproduce in a robot because, to make a robot thinks of words and there meanings, take time to implement because there would be layers of code just on of the original code, just to make a robot think of words and there meanings.