Multi-paradigm Logic Programming in the script upper E E $\mathcal{E}$ rgoAI System

Abstract script upper E E $\mathcal{E}$ rgoAI is a high-level, multi-paradigm logic programming language and system developed by Coherent Knowledge Systems as an enhancement of and a successor to the popular script upper F F $\mathcal{F}$ lora-2 system. script upper E E $\mathcal{E}$ rgoAI is oriented toward scalable knowledge representation and reasoning and can exploit = structured knowledge as well as knowledge derived from external sources such as vector databases. From their inception, script upper E E $\mathcal{E}$ rgoAI (and script upper F F $\mathcal{F}$ lora-2 before it) were designed to exploit the well-founded semantics for reasoning in a multi-paradigm environment, including object-based logic (F-logic) with non-monotonic inheritance; higher-order syntax in the style of HiLog; defeasibility of rules; semantically clean transactional updates ; subgoal delay for handling unsafe queries and for better performance; and optional support for bounded rationality at a module level. Although script upper E E $\mathcal{E}$ rgoAI programs are compiled into XSB and adopt many Prolog features, script upper E E $\mathcal{E}$ rgoAI is altogether a different language and system. Under consideration in Theory and Practice of Logic Programming (TPLP).

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Publication Details

Journal
Theory and Practice of Logic Programming
Published
2026-10-27
DOI
https://doi.org/10.1017/s1471068426100465
Primary Topic
Logic, Reasoning, and Knowledge
Type
article
Field-Weighted Citation Impact
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article

Multi-paradigm Logic Programming in the script upper E E $\mathcal{E}$ rgoAI System

Michael Kifer, Theresa M. Swift
Theory and Practice of Logic Programming
Logic, Reasoning, and Knowledge
article

Multi-paradigm Logic Programming in the script upper E E $\mathcal{E}$ rgoAI System

Michael Kifer, Theresa M. Swift
article en

Abstract

Abstract script upper E E $\mathcal{E}$ rgoAI is a high-level, multi-paradigm logic programming language and system developed by Coherent Knowledge Systems as an enhancement of and a successor to the popular script upper F F $\mathcal{F}$ lora-2 system. script upper E E $\mathcal{E}$ rgoAI is oriented toward scalable knowledge representation and reasoning and can exploit = structured knowledge as well as knowledge derived from external sources such as vector databases. From their inception, script upper E E $\mathcal{E}$ rgoAI (and script upper F F $\mathcal{F}$ lora-2 before it) were designed to exploit the well-founded semantics for reasoning in a multi-paradigm environment, including object-based logic (F-logic) with non-monotonic inheritance; higher-order syntax in the style of HiLog; defeasibility of rules; semantically clean transactional updates ; subgoal delay for handling unsafe queries and for better performance; and optional support for bounded rationality at a module level. Although script upper E E $\mathcal{E}$ rgoAI programs are compiled into XSB and adopt many Prolog features, script upper E E $\mathcal{E}$ rgoAI is altogether a different language and system. Under consideration in Theory and Practice of Logic Programming (TPLP).

Theory and Practice of Logic Programming
Stony Brook University (US), Coherent (United States) (US)
Openalex Percentile: Top 13%
Logic, Reasoning, and Knowledge
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Multi-paradigm Logic Programming in the script upper E E $\mathcal{E}$ rgoAI System — Michael Kifer, Theresa M. Swift · Theory and Practice of Logic Programming (2026) | TGRS Research Map | TGRS