BANK • PEŁNY PODGLĄD

ludzkie-ciekawostki: Expert system

Bezużyteczne Fakty • wikipedia-seeded

← Bank
candidateneeds-reviewC 90%
Fakt używany przez pipeline
Expert systems were among the first truly successful forms of AI software.
Pełniejszy materiał źródłowy / excerpt
In artificial intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural programming code. Expert systems were among the first truly successful forms of AI software. They were created in the 1970s and then proliferated in the 1980s, being then widely regarded as the future of AI before the advent of successful artificial neural networks. An expert system is divided into two subsystems: 1) a knowledge base, which represents facts and rules; and 2) an inference engine, which applies the rules to the known facts to deduce new facts, and can include explaining and debugging abilities.
Kategoria: ludzkie-ciekawostki
Rodzina: ludzkie-ciekawostki
Jakość źródła: 65/100
Próby weryfikacji: 3
Notatka fact-checku: Fact-check 3.0-content-aware: no sufficient claim-bound corroboration after 3 healthy attempts. Scope=verify the factual claim. Required independent sources=2; stored evidence groups=0. Provider/API errors did not consume attempts. | Fact-check 4.3.2: research wznowiony bez zdejmowania HOLD. Poprzednia metoda: factcheck-300-content-aware. | Fact-check 4.3.2: research wznowiony bez zdejmowania HOLD. Poprzednia metoda: factcheck-weekly-research-432.

ŹRÓDŁA I DOWODY

4 zapisanych źródeł
Wikipedia ENpomocniczeniezależne

Evidence: 100 • authority: 72

In artificial intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural programming code. Expert systems were among the first truly successful forms of AI software. They were created in the 1970s and then proliferated in the 1980s, being then widely regarded as the future of AI before the advent of successful artificial neural networks. An expert system is divided into two subsystems: 1) a knowledge base, which represents facts and rules; and 2) an inference engi…

Otwórz źródło ↗
CRC Presspomocniczeniezależne

Evidence: 49 • authority: 80

Expert Systems: The Software Side of AI

Otwórz źródło ↗
Elsevierpomocniczeniezależne

Evidence: 49 • authority: 80

Software Integration of Real-Time Expert Systems

Otwórz źródło ↗
Wikipedia ENpomocnicze

Evidence: 49 • authority: 72

In artificial intelligence (AI), symbolic artificial intelligence (also known as classical artificial intelligence or logic-based artificial intelligence) is a collection of methods based on high-level symbolic (human-readable) representations of problems, logic, and search. Symbolic AI used tools such as logic programming, production rules, semantic nets and frames. It developed applications such as knowledge-based systems (in particular, expert systems), symbolic mathematics, automated theorem provers, ontologies, the semantic web, and automated planning and scheduling systems. The symbolic AI paradigm led to important ideas in search, symbolic programming languages, agents, multi-agent s…

Otwórz źródło ↗