Autonomous Task Completion Based on Goal-directed Answer Set Programming
Fuente:
arXiv
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2025
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866913689358041088 |
|---|---|
| author | Tudor, Alexis R. |
| author_facet | Tudor, Alexis R. |
| contents | Task planning for autonomous agents has typically been done using deep learning models and simulation-based reinforcement learning. This research proposes combining inductive learning techniques with goal-directed answer set programming to increase the explainability and reliability of systems for task breakdown and completion. Preliminary research has led to the creation of a Python harness that utilizes s(CASP) to solve task problems in a computationally efficient way. Although this research is in the early stages, we are exploring solutions to complex problems in simulated task completion. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_09208 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Autonomous Task Completion Based on Goal-directed Answer Set Programming Tudor, Alexis R. Logic in Computer Science Software Engineering Task planning for autonomous agents has typically been done using deep learning models and simulation-based reinforcement learning. This research proposes combining inductive learning techniques with goal-directed answer set programming to increase the explainability and reliability of systems for task breakdown and completion. Preliminary research has led to the creation of a Python harness that utilizes s(CASP) to solve task problems in a computationally efficient way. Although this research is in the early stages, we are exploring solutions to complex problems in simulated task completion. |
| title | Autonomous Task Completion Based on Goal-directed Answer Set Programming |
| topic | Logic in Computer Science Software Engineering |
| url | https://arxiv.org/abs/2502.09208 |