Pinaki Laskar on LinkedIn: #ai #machinelearning #programming

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner What's the difference between a knowledge based system and an expert system? KBS/ES Knowledge Bases Automated reasoning engines (Inference engines, theorem provers, classifiers), - "expert system" refers to the type of task the system is trying to assist with – to replace or aid a human expert in a complex task requiring expert knowledge; - "knowledge-based system" refers to the architecture of the system – that it represents knowledge explicitly, rather than as procedural code; While the earliest knowledge-based systems were almost all expert systems, the same tools and architectures can and have since been used for a whole host of other types of systems. Virtually all expert systems are knowledge-based systems, but many knowledge-based systems are not expert systems. Expert systems is going as a computer system emulating the decision-making ability of a human expert, solve complex problems by reasoning through bodies of knowledge, represented mainly as if-then rules rather than through conventional procedural code. The knowledge base represents facts and rules about the world, via KRR formalisms, as ontologies, frames, conceptual graphs or logical assertions.