Connectionist expert systems are artificial neural network (ANN) based expert systems where the ANN generates inferencing rules e.g., fuzzy-multi layer...
2 KB (272 words) - 19:31, 12 August 2023
intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve...
54 KB (6,367 words) - 17:51, 20 March 2025
as: Neuro-symbolic systems Neuro-fuzzy systems Hybrid connectionist-symbolic models Fuzzy expert systems Connectionist expert systems Evolutionary neural...
5 KB (534 words) - 01:46, 6 March 2025
"knowledge-based system" was often used interchangeably with "expert system", possibly because almost all of the earliest knowledge-based systems were designed...
11 KB (1,231 words) - 22:03, 18 August 2024
Knowledge engineering (section Expert systems)
refers to all aspects involved in knowledge-based systems. One of the first examples of an expert system was MYCIN, an application to perform medical diagnosis...
5 KB (569 words) - 08:46, 14 November 2024
and various connectionist approaches. This section provides a non-exhaustive and informal categorisation of common types of reasoning system. These categories...
17 KB (1,945 words) - 01:39, 18 February 2024
Inference engine (redirect from Expert system shell)
intelligent system that applies logical rules to the knowledge base to deduce new information. The first inference engines were components of expert systems. The...
11 KB (1,461 words) - 01:41, 24 February 2024
Brain Project Catastrophic interference Cognitive architecture Connectionist expert system Connectomics Deep image prior Digital morphogenesis Efficiently...
168 KB (17,637 words) - 20:48, 21 April 2025
Forward chaining (category Expert systems)
chaining is a popular implementation strategy for expert systems, business and production rule systems. The opposite of forward chaining is backward chaining...
6 KB (703 words) - 09:35, 8 May 2024
Backward chaining (category Expert systems)
forward-chaining inference. The backward chaining approach is often employed by expert systems. Programming languages such as Prolog, Knowledge Machine and ECLiPSe...
6 KB (806 words) - 11:50, 13 December 2024
Model-based reasoning (category Expert systems)
intelligence, model-based reasoning refers to an inference method used in expert systems based on a model of the physical world. With this approach, the main...
6 KB (781 words) - 17:05, 6 February 2025
CLIPS (category Expert systems)
CLIPS (C Language Integrated Production System) is a public-domain software tool for building expert systems. The syntax and name were inspired by Charles...
7 KB (691 words) - 07:36, 8 April 2025
An expert system for mortgages is a computer program that contains the knowledge and analytical skills of human authorities, related to mortgage banking...
8 KB (1,120 words) - 18:11, 11 December 2024
Multi-agent planning (category Multi-agent systems)
intelligence Cooperative distributed problem solving and Coordination Multi-agent systems and Software agent and Self-organization Multi-agent reinforcement learning...
3 KB (289 words) - 03:23, 22 June 2024
Autoencoder Biologically inspired computing Blue brain Connectionist expert system Decision tree Expert system Genetic algorithm In Situ Adaptive Tabulation Large...
89 KB (10,702 words) - 10:21, 19 April 2025
"Expert systems". AccessScience. doi:10.1036/1097-8542.248550. Honavar, Vasant; Uhr, Leonard (1994). Symbolic Artificial Intelligence, Connectionist Networks...
88 KB (11,007 words) - 14:49, 24 April 2025
Automated reasoning (section Proof systems)
standard automated deduction. John Pollock's OSCAR system is an example of an automated argumentation system that is more specific than being just an automated...
14 KB (1,346 words) - 20:21, 28 March 2025
by experts. Diagnosis of a problem transpires as a rapid recognition process in which symptoms evoke appropriate situation categories. An expert knows...
17 KB (2,137 words) - 19:38, 13 January 2025
from Cycorp. The source code written in CycL released with the OpenCyc system is licensed as free and open-source software, to increase its usefulness...
6 KB (713 words) - 05:24, 17 March 2025
contemporary control and reasoning architectures like expert systems and the blackboard system. The following define the general requirements for the...
10 KB (1,168 words) - 04:43, 31 July 2024
Knowledge engineering Expert systems CLIPS Connectionist expert systems Expert systems for mortgages Legal expert systems Reasoning systems Theorem provers...
4 KB (526 words) - 13:15, 16 January 2025
Flora-2 system introduced a number of changes to the syntax of F-logic, making it more suitable for a knowledge representation and reasoning system as opposed...
7 KB (925 words) - 14:04, 8 December 2024
is a computer language designed to enable systems to share and re-use information from knowledge-based systems. KIF is similar to frame languages such as...
4 KB (395 words) - 07:29, 19 June 2024
rules. Rule-based systems were the predominant knowledge representation mechanism for virtually all early expert systems. Rule-based systems provided acceptable...
8 KB (991 words) - 14:04, 8 December 2024
Knowledge engineering Expert systems CLIPS Connectionist expert systems Expert systems for mortgages Legal expert systems Reasoning systems Theorem provers...
4 KB (344 words) - 07:24, 19 June 2024
Language" (PDF). First International Conference on Web Reasoning and Rule Systems (RR 2007). Kaarel Kaljurand; Norbert E. Fuchs (2007). "Verbalizing OWL...
17 KB (2,396 words) - 19:46, 14 October 2024
Knowledge engineering Expert systems CLIPS Connectionist expert systems Expert systems for mortgages Legal expert systems Reasoning systems Theorem provers...
5 KB (620 words) - 05:42, 23 July 2024
that solidified its place as an efficient planning system. One drawback of this type of planning system is that it requires a lot more computational power...
9 KB (1,404 words) - 09:43, 9 August 2024
knowledge basis by linking the collective knowledge and the input of non-expert people. Knowledge-based approaches can be separated into approaches based...
27 KB (3,061 words) - 08:27, 24 April 2025
AI requires non-symbolic processing (that which can be supplied by a connectionist architecture for instance). The common statement that the brain is simply...
22 KB (2,548 words) - 17:44, 3 May 2025