Expert_system - Wikiparency

# Expert system ## Links (Wikipedia order)  `AI_winter` · `Addison-Wesley` · `Allen_Newell` · `Answer_set_programming` · `Argumentation_framework` · [[Artificial_intelligence]] · `Assertion_(software_development)` · `Attempto_Controlled_English` · `Automated_planning_and_scheduling` · `Automated_reasoning` · `Automated_theorem_proving` · `Backward_chaining` · `Belief_revision` · `Binary_data` · `Blackboard_system` · `Boolean_satisfiability_problem` · `British_Nationality_Act_1981` · `Business_rule` · `CADUCEUS_(expert_system)` · `CARINE` · `CLIPS` · `COBOL` · `C_(programming_language)` · `Case-based_reasoning` · `Central_processing_unit` · `Centro_Elettrotecnico_Sperimentale_Italiano` · `Class_(programming)` · `Client–server_model` · `Commonsense_reasoning` · `Connectionist_expert_system` · `Constraint_Handling_Rules` · `Constraint_logic_programming` · `Constraint_programming` · `Constraint_satisfaction` · `Cyc` · `CycL` · `DBpedia` · `Daniel_Crevier` · `Datalog` · `Deductive_classifier` · `Dendral` · `Digital_Equipment_Corporation` · `Douglas_Lenat` · `E_(theorem_prover)` · `Edward_Feigenbaum` · `Expert` · `Expert_Systems_(series)` · `Expert_systems_for_mortgages` · `F-logic` · `FO(.)` · `Fortune_500` · `Forward_chaining` · `Fuzzy_logic` · `Garvan_Institute_of_Medical_Research` · `Health_care` · [[Herbert_A._Simon]] · `IBM_PC_DOS` · `Inference_engine` · `Instance_(computer_science)` · `Internist-I` · `Itaipu_Dam` · `Knowledge_Graph_(Google)` · `Knowledge_Interchange_Format` · `Knowledge_acquisition` · `Knowledge_base` · `Knowledge_engineering` · `Knowledge_extraction` · `Knowledge_representation_and_reasoning` · `Learning_classifier_system` · `Legal_expert_system` · `Lisp_(programming_language)` · `Lisp_machine` · `Local_consistency` · `Logic_programming` · `Logic_synthesis` · `MiniZinc` · `Minicomputer` · `Model-based_reasoning` · `Motion_planning` · `Multi-agent_planning` · `Mycin` · `Nqthm` · `OR-Tools` · `Object-oriented_programming` · [[Ontology_(information_science)]] · `Ontology_language` · `Oracle_Corporation` · `Otter_(theorem_prover)` · `Overfitting` · `Pamela_McCorduck` · `Paradox_(theorem_prover)` · `Partial-order_planning` · `Pattern_matching` · `Preference-based_planning` · `Procedural_programming` · `Procedural_reasoning_system` · `Production_system_(computer_science)` · `Prolog` · `Prover9` · `Qualitative_reasoning` · `Rapid_prototyping` · `Reactive_planning` · `Reason_maintenance` · `Reasoning_system` · `Richard_M._Karp` · `Ridracoli` · `Rule-based_machine_learning` · `Rule-based_system` · `SPASS` · `Satisfiability` · `Satisfiability_modulo_theories` · `Semantic_Web` · `Siebel_Systems` · `Speech_recognition` · `Stanford_University` · `State-space_planning` · `Symbolics` · `Texas_Instruments` · `The_Economist` · `VAX` · `VAX_9000` · `Venture_capital` · [[Wayback_Machine]] · `Web_Ontology_Language` · `Wikidata` · `William_L._Stubblefield` · `Xcon` · `Xerox` · `YAGO_(database)` · `Z3_Theorem_Prover` > Summary stub · part of Process Engineering · [Wikipedia source](https://en.wikipedia.org/wiki/Expert_system) ## Summary An expert system is a computer program designed to emulate the knowledge and [[Decision-making|decision-making]] ability of human domain experts by applying stored facts and rules to solve complex problems within a specific field. Expert systems capture expertise through knowledge bases (facts and rules) and inference engines that apply logical reasoning to reach conclusions and recommendations, making expert knowledge available to non-specialists. Applications include diagnostics, process control, fault troubleshooting, and optimization where expert judgment is valuable but expensive or unavailable. Expert systems were pioneering applications of [[Artificial_intelligence|artificial intelligence]] in industry and remain valuable for codifying specialized knowledge and automating decision-making in process operations. ## Key points - Encodes domain expert knowledge in rules and facts for automated reasoning - Uses inference engines to apply logical rules to solve problems or make recommendations - Provides access to expert-level knowledge even when specialists are unavailable - Applications include diagnostics, troubleshooting, and optimization in industrial processes - Complements human expertise rather than replacing it, supporting better decisions ## Relation to Process Engineering Expert systems capture and automate the knowledge of experienced process engineers for fault diagnosis, process troubleshooting, and optimization decisions. They enable consistent application of expert judgment and help train less experienced engineers in process operation and problem-solving. ## Sources - [Expert system — Wikipedia](https://en.wikipedia.org/wiki/Expert_system) Back to Process Engineering ---  ## Semiotic profile > *The semiotic universals this article invokes, machine-derived from the crossref — **unverified** (born so). Populated 2026-07-06 for the Systems room.* **Universals (3):** 🟡 system (7) · 🟢 optimization (4) · 🟢 encoding (1) **Enter by sign:** Systems Semiotic Gateway · Alphabetum · Icon Registry · ← Systems Portal  ## Wikipedia : Wikitube **Strict pair:** [Wikipedia](https://en.wikipedia.org/wiki/Expert_system) : [Wikitube](https://en.wikitube.io/wiki/Expert_system) ## Previous hub tags Tree parent: [[Operations_research]]. Legacy hubs: none. --- *Sources: 1 legacy note. Minted wave 1, 2026-07-30 (v1.6 order).*