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What is an intelligent system? Artificial Intelligence

Mankind has made significant progress through the development of increasingly powerful and sophisticated tools. In the age of the industrial revolution, a large number of tools were built as machines that automated tasks requiring physical effort. In the digital age, computer-based tools are being created to automate tasks that require mental effort. The capabilities of these tools have been progressively increased to perform tasks that require more and more intelligence. This evolution has generated a type of tool that we call intelligent system. Intelligent systems help us performing specialized tasks in professional domains such as medical diagnosis (e.g., recognize tumors on x-ray images) or airport management (e.g., generate a new assignment of airport gates in the presence of an incident).

Artificial Intelligence: Structures and Strategies for Complex Problem Solving

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Many and long were the conversations between Lord Byron and Shelley to which I was a devout and silent listener. During one of these, various philosophical doctrines were discussed, and among others the nature of the principle of life, and whether there was any probability of its ever being discovered and communicated. They talked of the experiments of Dr. Darwin (I speak not of what the doctor really did or said that he did, but, as more to my purpose, of what was then spoken of as having been done by him), who preserved a piece of vermicelli in a glass case till by some extraordinary means it began to move with a voluntary motion. Not thus, after all, would life be given. Perhaps a corpse would be reanimated; galvanism had given token of such things: perhaps the component parts of a creature might be manufactured, brought together, and endued with vital warmth (Butler 1998).

Artificial Intelligence Narratives: An Objective Perspective on Current Developments Artificial Intelligence

This work provides a starting point for researchers interested in gaining a deeper understanding of the big picture of artificial intelligence (AI). To this end, a narrative is conveyed that allows the reader to develop an objective view on current developments that is free from false promises that dominate public communication. An essential takeaway for the reader is that AI must be understood as an umbrella term encompassing a plethora of different methods, schools of thought, and their respective historical movements. Consequently, a bottom-up strategy is pursued in which the field of AI is introduced by presenting various aspects that are characteristic of the subject. This paper is structured in three parts: (i) Discussion of current trends revealing false public narratives, (ii) an introduction to the history of AI focusing on recurring patterns and main characteristics, and (iii) a critical discussion on the limitations of current methods in the context of the potential emergence of a strong(er) AI. It should be noted that this work does not cover any of these aspects holistically; rather, the content addressed is a selection made by the author and subject to a didactic strategy.

Knowledge-Driven Wireless Networks with Artificial Intelligence: Design, Challenges and Opportunities Artificial Intelligence

This paper discusses technology challenges and opportunities to embrace artificial intelligence (AI) era in the design of wireless networks. We aim to provide readers with motivation and general methodology for adoption of AI in the context of next-generation networks. First, we discuss the rise of network intelligence and then, we introduce a brief overview of AI with machine learning (ML) and their relationship to self-organization designs. Finally, we discuss design of intelligent agent and it's functions to enable knowledge-driven wireless networks with AI.

Agents in Artificial Intelligence


Artificial Intelligence study is composed of rational agents. A rational agent could be anything which make decisions, program, machine or a person. Agent carries out the actions which give the best outcome based on past and present percepts. An AI system contains and agent and the environment on which agent perform actions. It can be many agents in the environment.