Algorithmic Problems for Computation Trees

In this paper, we study three algorithmic problems involving computation trees: the optimization, solvability, and satisfiability problems. The solvability problem is concerned with recognizing computation trees that solve problems. The satisfiability problem is concerned with recognizing sentences that are true in at least one structure from a given set of structures. We study how the decidability of the optimization problem depends on the decidability of the solvability and satisfiability problems. We also consider various examples with both decidable and undecidable solvability and satisfiability problems.

Authors

Institutions

Publication Details

Journal
Logics
Published
2025-05-09
DOI
https://doi.org/10.3390/logics3020004
Citations
2
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
3.01

Funders

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

Algorithmic Problems for Computation Trees

Mikhail Moshkov
2 citations
Logics
Computability, Logic, AI Algorithms
3.01
article

Algorithmic Problems for Computation Trees

Mikhail Moshkov
article en
2 citations

Abstract

In this paper, we study three algorithmic problems involving computation trees: the optimization, solvability, and satisfiability problems. The solvability problem is concerned with recognizing computation trees that solve problems. The satisfiability problem is concerned with recognizing sentences that are true in at least one structure from a given set of structures. We study how the decidability of the optimization problem depends on the decidability of the solvability and satisfiability problems. We also consider various examples with both decidable and undecidable solvability and satisfiability problems.

LogicsVol. 3(2)
King Abdullah University of Science and Technology (SA)
King Abdullah University of Science and Technology
Openalex Percentile: Top 9%
Computability, Logic, AI Algorithms
3.01
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.