Domain Specific Knowledge In Ai
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What the gps had were broad weak strategies.
Domain specific knowledge in ai. Also a s to exhibit intelligence required knowledge. The effective representation of domain knowledge is therefore generally considered to be the keystone to the success of ai programs 15 see figure 1. 10 31 2020 by bilal abu salih et al. Domain knowledge is knowledge of a specific specialized discipline or field in contrast to general knowledge or domain independent knowledge the term is often used in reference to a more general discipline as for example in describing a software engineer who has general knowledge of programming as well as domain knowledge about the pharmaceutical industry.
We can easily represent heuristic or domain specific knowledge using this approach. It contains domain specific and high quality knowledge. Knowledge plays an important role in demonstrating intelligent behavior in ai agents. A fundamental observation arising from work in artificial intelligence ai has been that expertise in a task domain requires substantial knowledge about that domain.
Knowledge engineering is the process of imitating how a human expert in a specific domain would. In general domain specific skills and knowledge do not generalize across areas. Generally it contains domain specific and high quality knowledge. It is introduced by the researchers at stanford university.
Knowledge graphs kgs have made a qualitative leap and effected a real revolution in knowledge representation. Knowledge of real worlds plays a vital role in intelligence and same for creating artificial intelligence. A knowledge engineer is an expert in ai language and knowledge representation who investigates a particular problem domain determines important concepts and creates correct and efficient representations of the objects and relations in the domain. This is leveraged by the underlying structure of the kg which underpins a better comprehension reasoning and interpreting of knowledge for both human and machine.
People use domain specific knowledge and skills to solve problems in different contexts. For example knowledge relevant to chess will not be useful in the area of physics. Procedia social and behavioral sciences 166 2015 589 รข 594 one of the typical models of knowledge representation within cognitive studies of ai. Knowledge acquisition refers to the process of extracting structuring and organizing domain knowledge from domain experts into a program.
Knowledge is required to exhibit intelligence. In terms of its role in artificial intelligence ai knowledge engineering is the process of. 0 share.
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