When Every Total Program Is a Finite Tree-Program: A Study of Program-Saturated Classes of Structures

This paper investigates classes of structures and individual structures where programs implementing functions defined everywhere (total programs) are equivalent to finite tree-programs. The programs considered may include cycles and contain at most countably many nodes. The analysis begins with programs where arbitrary terms of a given signature are used in function nodes, and arbitrary formulas of this signature are used in predicate nodes. The results are then extended to programs that closely resemble computation trees: if such a program is a finite tree-program, it can be classified as an ordinary computation tree.

Authors

Institutions

Publication Details

Journal
Axioms
Published
2025-04-17
DOI
https://doi.org/10.3390/axioms14040307
Citations
2
Primary Topic
Machine Learning and Algorithms
Type
article
Field-Weighted Citation Impact
4.96

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

When Every Total Program Is a Finite Tree-Program: A Study of Program-Saturated Classes of Structures

Mikhail Moshkov
2 citations
Axioms
Machine Learning and Algorithms
4.96
article

When Every Total Program Is a Finite Tree-Program: A Study of Program-Saturated Classes of Structures

Mikhail Moshkov
article en
2 citations

Abstract

This paper investigates classes of structures and individual structures where programs implementing functions defined everywhere (total programs) are equivalent to finite tree-programs. The programs considered may include cycles and contain at most countably many nodes. The analysis begins with programs where arbitrary terms of a given signature are used in function nodes, and arbitrary formulas of this signature are used in predicate nodes. The results are then extended to programs that closely resemble computation trees: if such a program is a finite tree-program, it can be classified as an ordinary computation tree.

AxiomsVol. 14(4)
King Abdullah University of Science and Technology (SA)
King Abdullah University of Science and Technology
Openalex Percentile: Top 6%
Machine Learning and Algorithms
4.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.