Kecerdasan Buatan (artificial Intelligence) Adalah Bidang Ilmu Komputer Yang Bertujuan Untuk

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Tuesday, 30 May 2023 13:16 0 127 setiawan

Kecerdasan Buatan (artificial Intelligence) Adalah Bidang Ilmu Komputer Yang Bertujuan Untuk – 2 Definition AI It is a field of research that seeks to explain and simulate mental behavior in terms of computational processes (Schalkoff, 1990). The study of how computers can perform tasks that until recently have been done by humans. (Rich and Knight, 1991) were good at of computer science, concerned with the automation of mental behavior (Luger & Stubblefield, 1993) A field of research concerned with capturing, modeling, and storing human intelligence in an information technology system to facilitate the system’s decision-making processes can Giving is usually done by humans (Haag and Keane, 1996).

Making machines smarter. Understanding the mind and increasing the use of machines As progress continues, however, the goal of AI is to make computers not only think, but also see, hear and move, even play and feel.

Kecerdasan Buatan (artificial Intelligence) Adalah Bidang Ilmu Komputer Yang Bertujuan Untuk

Pusat Data Kecerdasan Buatan Diluncurkan

Artificial Intelligence is used to: Create computer programs that are highly user-friendly Improve problem solving in an accurate and consistent way Help solve problems that cannot be solved by traditional methods May contain incomplete or ambiguous data. Handling information overload (summarizing and translating information) Increase productivity when multitasking. Help find data or patterns based on large amounts of data

Cognitive Knowledge Applications Robotics Applications Natural Interface Applications Expert Learning Systems Motion Fuzzy Logic Systems Genetic Algorithms Neural Networks Intelligent Agents Perception Stimulation Directional Movement Natural Language Speech Recognition Conversational Recognition Multi-Models Real.

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14 Expert Systems that simulate a person’s expertise in a particular domain in solving a problem (Horn, 1986) Weiss and Kulikowski (1984) State: Solving complex, real-world problems for which experts Definition is needed. Solving these problems using models in which experts use human reasoning to reach the same conclusions as those experts would reach when faced with similar problems.

15 An example of the BERT expert system, an expert system for building design. DART/DASD, for computer fault diagnosis DELTA, a professional diesel engine damage detection system at General Electric. DENDRAL, an expert system for analyzing the molecular structure of a chemical compound. EL, an expert system for the analysis of electronic circuits consisting of transistors, diodes and resistors, FOLIO, an expert system for the evaluation of knowledge investment, an expert system for thermal management, coal combustion process. and so on…

Common conceptual structures of an expert system include: knowledge-based navigation techniques user interface options

17 Knowledge generated by experts in the knowledge base consists of a set of facts (facts) and rules (rules). Facts present problem situations and theories about the problem area Principles A direction that uses knowledge to solve problems in a particular area.

Penerapan Artificial Intelligence Dalam Pengawasan Pajak

Oranges: spherical fruit, green and yellow when old, burning on the stem, Apples: green when young and red when old. If this is a question, is it a round fruit? The user answers “yes”, then gives? the truth

Inference engine: it is the brain of the expert system and the part that works for the purpose of thinking and drawing conclusions. Explanation Meaning: To provide an explanation to the user who requested it. Interface: The part that connects the system to the user.

A method for dealing with uncertainty in problems that have multiple answers. Fuzzy logic was first introduced in 1965 in a seminar by Lotfi A. Zadeh of the University of California, Berkeley, the method was designed to find the intermediate value between the Aristotelian numbers 0 and 1. Fuzzy logic is an improvement of Boolean logic. . Boolean truth with truth values. The basis of fuzzy logic is to generate numbers between 0.0 and 1.0 and 0 and 1 or more precisely.

One tap washing machine Load the clothes, press the button Fill the required water Add the detergent and wash according to the time. This machine works by simulating how housewives wash in a regular washing machine. If the clothes are dirty, the timer is longer. The method of fuzzy logic is used here by answering if and then commands (IF THEN). If the laundry is not heavily soiled, the wash should be quick. By considering the level of dirtiness of the fabric, which is sensed by measuring the level of dirtiness of the washing water using a light sensor, the machine can decide which clothes to wash to be more economical and efficient. What? .

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Also often called artificial neural network (ANN) or neural computer. An area of AI that mimics the human brain’s pattern processing based on pattern recognition. Examples of ANN applications: data mining signature verification (eg finding patterns in large datasets) facial recognition stocks and bond selection.

24 Genetic Algorithms Often called Adaptive Computing  John H. Holland (1975) An approach that simulates living organisms to create an evolutionary process for better problem solving in response to their environment. Genetic Algorithm  Mathematical process rules used to determine how combinations of process elements are formed Three methods are used: iterative, random combinations, and evaluation of results. Crossover, which combines some good results, is expected to achieve better results. Selection, selection of good procedures and eliminating bad.

General Electric Engineers use it to design aircraft turbine engines, consisting of equations with about 100 variables and 50 constraints. The Department of Psychology at New Mexico State University has developed a genetic algorithm to identify suspects based on photos of fake witnesses.

A system that combines multiple AI technologies to integrate and combine the benefits of each technology. Soft computing combines ANN, fuzzy logic, genetic algorithms and traditional AI techniques. Neurofuzzy, combining the use of ANN fuzzy logic  Used for washing machines and refrigerators by Matsushita and Sharp.

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Agent  everything that can be observed perceives its environment through sensors and affectors (Russell & Norvig, 1995) acts on the environment through sensors  the part that triggers the action of the agent. Actuator  part used by agents to perform actions like agent program  smart agent

In order for this website to function, we record user data and share it with processors. To use this website, you must accept our Privacy Policy, including our Cookie Policy. Artificial Intelligence (AI) or artificial intelligence is a type of technology designed to mimic human cognitive function. Such as analyzing data, understanding patterns, identifying the environment to make decisions.

Artificial intelligence is not always in the form of robots, as we see in science fiction movies. AI often takes the form of computers, devices, even intangibles.

AI technology was designed to understand problems and provide solutions faster and more efficiently. Furthermore, AI is expected to be able to perform human tasks more easily and produce greater results.

Raksasa Teknologi Optimalkan Kecerdasan Buatan Dalam Layanan

Artificial intelligence has been known for a long time, but it really began to develop in the middle of the 20th century. In 1956, the computer scientist John McCarthy defined artificial intelligence as activities carried out by humans to provide tasks and functions of technology. Act like humans.

McCarthy played a major role in the history of the development of AI as we know it today. He created a high-level programming language called LISP.

LISP itself is now used in many AI technologies. In the 1960s and 1970s, the development of AI slowed down and began to develop again in the 1980s. Introduced by the Digital Equipment Corporation (DEC), who invented the R1 system as a system configuration tool on new computers.

By 1988, R1 was running 40 systems and was able to save the company up to $40 million in operating costs.

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Two important factors that cannot be separated from the development of AI are big data and computing power. A device needs a lot of data to think and act like a human.

In simple words, the data used in AI technology can be divided into two categories, namely image data (visual) and non-image data (language text or numbers). Artificial Intelligence, which can be developed using visual data, is of course used to analyze and detect objects from images or videos, simulating how the human eye works to see and identify objects.

Artificial intelligence consisting of non-image data can be used to answer conversations known as chat/voice/call bots. His job is to predict future events in the human mind by analyzing situations from the past to the present.

In addition, existing computing devices can be programmed to study the data provided. Therefore, the more data provided, the “smarter” the device or computer.

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The rapid development of AI is also helping us enter the digital age and the Internet of Things (IoT), which allows all data to be quickly recorded and captured from anywhere, even in real time.

However, it must be noted that in order to ensure the best performance of AI, the smooth operation of AI requires stable and reliable bandwidth. The best dedicated networking solutions from Link Net will help you achieve this.

The development of AI is becoming more and more