Expert Systems

In artificial intelligence, 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 code. The first expert systems were created in the 1970s and then proliferated in the 1980s. Expert systems were among the first truly successful forms of artificial intelligence (AI) software. An expert system is divided into two subsystems: the inference engine and the knowledge base. The knowledge base represents facts and rules. The inference engine applies the rules …

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Publications

The AI Index · 14 April 2024 English

As noted earlier, the decrease in AI job postings decrease in the proportion of AI job postings in 2023 was related to changes in the hiring patterns of several compared …

Interaction, Voice User Interface, Word Ethical AI, Expert Systems, Explainable AI (XAI), Embedding, Word2Vec


Conseil supérieur de l'éducation du Québec · 9 April 2024 French

Intelligence artificielle générative en enseignement supérieur : enjeux pédagogiques et éthiques Intelligence artificielle générative en enseignement supérieur : enjeux pédagogiques et éthiques Intelligence artificielle générative en enseignement supérieur : enjeux …

Text-to-Text Transfer Transformer Models », Expert Systems with Applications, vol. 208, réf. du 21 mars


RAND Corporation · 2 April 2024 English

This report is one in a series of analyses on the effects of emerging technologies on U.S. Department of Homeland Security missions and capabilities. In this report, authors use their …

ing image recognition and machine vision), expert systems, and robotics.2 This list is similar to those


EU: European Union · 22 March 2024 English

The European Research Council (ERC) is the premier European funding organisation for excellent frontier research. Since its establishment in 2007, it has been a cornerstone of the EU’s research and …

deductive engines, symbolic reasoning and expert systems; • statistical approaches, Bayesian estimation


NBER: National Bureau of Economic Research · 14 March 2024 English

We use a longitudinal dataset measuring beliefs and behaviors to study the dynamics of model – or narrative – adoption during the Covid-19 pandemic. We show that individuals switch beliefs …

Spiegelhalter (2007). Probabilistic networks and expert systems: Exact computational methods for Bayesian networks


RAND Corporation · 5 March 2024 English

American policymakers have become increasingly concerned about the Department of Defense’s ability to defeat a Chinese invasion of Taiwan. To counter this, RAND gathered a group of private sector technologists …

to either train an AI/ML model or design an expert systems-based approach. 16 Integration Status


ETUI: European Trade Union Institute · 3 March 2024 English

The rapid expansion of artificial intelligence is unparalleled, establishing it as a ubiquitous element in workplaces and our daily lives. The era when AI was exclusively associated with robots and …

development of algorithms in recent decades. 3.1 Expert systems The automation of algorithms in early computing is best exemplified in the development of ‘expert systems’ in AI. By the late 1960s and early 1970s, endeavour, a new class of artefacts called expert systems then appeared on the scene. Mycin, for instance instance, was one of the first expert systems for the diagnosis of infectious blood diseases. It used ‘production ‘implies’. Source: author’s own elaboration. Expert systems with such attributes – deep and linear inferences


CEC: Chaire Economie du Climat · 27 February 2024 English

While in the past the ever-increasing Gross Domestic Product (GDP) growth rate, the decreasing cost of air travel, the higher discretionary incomes, the improved levels of education, the population growth, …

capacity expansion: A system dynamics framework. Expert Systems with Applications, 37(3), 2324- 2339. https://doi


ACBF: African Capacity Building Foundation · 22 February 2024

In recent years, the adoption of technologies by revenue administrations has contributed to the better provision of e-services to taxpayers and the strengthening of tax compliance control mech- anisms that …

Hybrid Unsupervised Outlier Detection Method.” Expert Systems with Applications 193: 116409. https://doi


CCA: Council of Canadian Academies · 12 February 2024 English

The role of the peer review monitor is to ensure that the panel gives full and fair consideration to the submissions of the peer reviewers. [...] Recognizing the opportunities and …

selection criteria in strategic alliances. Expert Systems with Applications, 36(3, Part 1), 4646-4653


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