INTRODUCTION AI is generally associated with Computer Science, but Artificial intelligence is the study of ideas to bring into being machines that respond to stimulation consistent with traditional responses from humans, given the human capacity for contemplation, judgment and intention. In the simple words the term Artificial Intelligence (AI) means "the science and engineering of making intelligent machines” that can take decision like a human. For this we try to combine knowledge from all fields will ultimately benefit our progress in the quest of creating an intelligent artificial being. Each such machine should engage in critical appraisal and selection of differing opinions within itself. Produced by human skill and labor, these machines should conduct themselves in agreement with life, spirit and sensitivity, though in reality, they are imitations.
EXPERT SYSTEMS 2.2. Expert systems Expert systems are computer programs that are derived from a branch of computer science research called Artificial Intelligence (AI). The AI 's scientific goal is to understand intelligence by building computer programs that exhibit intelligent behavior. It is concerned with the concepts and methods of symbolic inference, or reasoning, by a computer, and how the knowledge is used to make those inferences will be represented inside the machine. Artificial intelligence is a branch of computer science which aims at transferring human intellectual skills into machines or programs .
Software agents play an important role as research objects in distributed AI(DAI) as well as in Agent Oriented Software Engineering(AOSE). Knowledge-based System(KBS) are being examine for Learning Software Organizations (LSO) as well as Knowledge Engineering(KE). Ambient intelligence(AmI) a new research area for distributed, non-intrusive, and intelligent software system both from the direction of how to build these system as well as how to designed the collaboration between system. Lastly computational intelligence(CI) plays an important role in research about software analysis or project management as well as knowledge discovery in machine learning or
The first part of my presentation is definitions and goals of Artificial intelligence. Artificial intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence It is ok, but what is the intelligence? Intelligence is the computational part of the ability to achieve goals in the world. There is not a solid definition of it because we cannot yet characterize in general what kinds of computational procedures we want to call intelligent.
Artificial Intelligence (AI) is the ability of the computer to do things that people normally do. It is also an academic field which studies how to create computers that are capable of intelligence behavior. There are three different ways to develop a computer with artificial intelligence. The first method is to build systems that think exactly like people (Hammond, 2015). This is called a ‘strong AI’.
They are different researches that have been conducted in order to inquire the focus of AI in the knowledge management. There are multi-agents frameworks which represent as perfect stages for demonstrating the development in artificial intelligence that incorporate a way and gathers different point of views. The objective of this research is to understand the problem statement and then evaluate and understand the ways in order to run and observe the findings efficiently. The research work is conducted in order to lead the study in a particular direction and to determine the factors which might create deeper understandings on the role of artificial intelligence in knowledge management. There have been collected various studies and researches ion order to inquire the future of artificial intelligence and where it might take the world.
The computer vision and machine vision fields have significant overlap. Computer vision covers the core technology of automated image analysis which is used in many fields. Machine vision usually refers to a process of combining automated image analysis with other methods and technologies to provide automated inspection and robot guidance in industrial applications. In many computer vision applications, the computers are pre-programmed to solve a particular task, but methods based on learning are now becoming increasingly common. Examples of applications of computer vision include systems
Brooks thought researchers should focus on first creating individual modules based on different aspects of the human brain, such as a planning module, a memory module etc., which could be later combined to create intelligence. There has been a broad-based attempt to build embodied intelligences. There have been many improvements of the technologies associated with computing and robots in the recent past. The tendency towards computer simulation, termed “Artificial General Intelligence” was seen because of the difficulty and lack of success in building physical robots. In “Artificial General Intelligence” virtual agents in a virtual reality world attempt to achieve intelligent behavior.
The space consists of some obstacles O and their positions and geometric characteristics are known to the robot prior. Given a start position S and the target location T, the path planning problem is to generate an appropriate path from S to T without any collision. This research focuses on the path planning of mobile robot in dynamic environment. Following are the objectives of this research: i. To develop an improved artificial bee colony algorithm for path planning in dynamic environment.
This deﬁnition allows us to characterize the knowledge as the information that should be provided for responsibles of decision-making processes and take advantage of having this information. In this way, knowledge is "reasoning about the information to actively guide task execution, problem solving and decision making in order to perform, learn and teach" (Beckman, 1997a). In software design, designer’s reasoning and its actions are an important generator of knowledge because allows us to know the reasons for the designer to choose a particular solution taking into account some design issues. This process of rationale management should be a fundamental part of the design process (Bassetal.,2006). This initiative must take into account the documentation of software systems does not describe itself the concerns and motivations which gave rise to the current design such as discussions, dialogues and agreements that structuring it, justiﬁcations of its particular characteristics, why this design had not adopted other characteristics and tradeoffs that were considered (Carroll and Rosson,