A "layman" is a person who is a non-expert in a given field of knowledge
I think it can be taken as an example of damning with faint praise. It is not exactly a compliment, and not an overt insult either. It suggests that a person has some knowledge of a given subject, but not enough to be highly regarded as trustworthy.
An expert is someone who possesses a deep and comprehensive knowledge of a specific field or subject, often gained through extensive education, training, and experience. They are recognized for their ability to analyze complex problems, provide informed insights, and contribute meaningfully to discussions within their area of expertise. Additionally, experts often engage in continuous learning to stay updated with the latest developments in their field.
expert opinions about matter and energy
Horologist
An artificial intelligence knowledge base aims to compile human expert knowledge to aid in decision-making, problem-solving, and other processes. Knowledge base systems have been created over time to support a variety of organisational processes.
importance of knowledge in expert system:1.knoledge is the enqure part of the expert system . 2.allow easy modification adding and deleting skill from the knowledge base.3.easy modification of the knowledge base is a major factor in producing a successfull programe in expert system.4.knowledge engineering must address a range of problem.5.through a knowledge we create one part without effecting the other.6.user knowledge specific to to a problem domain to provide "exper quality"performance in that application area.
The mark of a math novice typically includes a limited understanding of concepts, reliance on memorization, and difficulty in applying knowledge to solve problems. In contrast, a math expert demonstrates deep conceptual understanding, can make connections between different areas of mathematics, and effectively employs problem-solving strategies. Experts also exhibit greater flexibility in thinking and can approach challenges with creative solutions. Overall, the key differences lie in depth of understanding, application of knowledge, and problem-solving skills.
An expert system is a computer program that uses knowledge and reasoning techniques to solve complex problems. It is designed to mimic the problem-solving abilities and decision-making processes of a human expert in a specific domain. Expert systems are commonly used in areas such as healthcare, finance, and engineering to provide expert advice and make informed decisions.
An expert system is software that attempts to reproduce the performance of one or more human experts, most commonly in a specific problem domain, and is a traditional application and/or subfield of artificial intelligence. A wide variety of methods can be used to simulate the performance of the expert however common to most or all are 1) the creation of a so-called "knowledgebase" which uses some knowledge representation formalism to capture the subject matter experts (SME) knowledge and 2) a process of gathering that knowledge from the SME and codifying it according to the formalism, which is called knowledge engineering. Expert systems may or may not have learning components but a third common element is that once the system is developed it is proven by being placed in the same real world problem solving situation as the human SME, typically as an aid to human workers or a supplement to some information system.
Expert systems primarily focus on solving complex problems by imitating the decision-making processes of human experts in particular domains, such as medicine or engineering. They use knowledge bases and rule-sets to provide advice, recommendations, or solutions based on the input provided by users.
David Byron Swanson has written: 'Computer simulation of expert problem solving in medical diagnosis'
Expert Common Knowledge happened in 1992.
Expert Common Knowledge was created in 1992.
Joanne K. Itano has written: 'THE ORGANIZATION OF CLINICAL KNOWLEDGE IN NOVICE AND EXPERT NURSES (PROBLEM-SOLVING)' -- subject(s): Education, Educational Psychology, Educational Psychology Education, Health Sciences, Nursing, Nursing Health Sciences
Access to Specialized Knowledge: Expert networks provide quick and targeted access to a diverse pool of specialized knowledge and expertise. Collaboration and Knowledge Exchange: These networks foster collaboration, enabling the exchange of ideas and best practices among professionals and thought leaders. Timely Decision-Making: The rapid access to relevant expertise through expert networks accelerates decision-making processes for organizations facing complex challenges. Innovation Catalyst: Expert networks contribute to innovation by facilitating the cross-pollination of ideas, leading to creative solutions and breakthroughs. Tailored Problem-Solving: They serve as invaluable resources for gaining insights into specific problems, offering tailored solutions to technical, strategic, or market-related challenges. Continuous Learning: Expert networks promote a culture of continuous learning through platforms such as webinars and workshops, keeping professionals updated on the latest advancements in their fields.
expert system is a system in which knowledge processing is done by computer program.Component of expert system are = 1.knowledge based subsystem-this programme is used by expert who can cut, edit, change the knowledge base. the source might be texts books, some research, expert in the area, or users own experience. b.knowledge base= It consists of everything starting from rules facts,etc. it is helpful in understanding & solving the problems.It consists of 2 main parts =1. facts , 2. heuristics. The interface engine=interface engine is the brain of the expert system.It applies the available information in a systematic way to form sequence of logical conclusion.It uses backward chaining and forward chaining. Workplace= Workplace is an area where the discription for the current problem is placed.it is also referred as blackboard. User interface=IT communicates the solution of the problem in a user friendly manner and language to user /manager with computer with also support of graphics.