Reasoning in complex environments with the SelectScript declarative language
On the map: World models → World models for language agents
Abstract (arXiv)
SelectScript is an extendable, adaptable, and declarative domain-specific language aimed at information retrieval from simulation environments and robotic world models in an SQL-like manner. In this work we have extended the language in two directions. First, we have implemented hierarchical queries; second, we improve efficiency enabling manual design space exploration on different "search" strategies. We demonstrate the applicability of such extensions in two application problems; the basic language concepts are explained by solving the classical problem of the Towers of Hanoi and then a common path planning problem in a complex 3D environment is implemented.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in World models for language agents, one of 11 directions in World models. Builds on 2 of its 20 references that are in the map. First posted on arXiv 17 Aug 2015.
Builds on
2 of 20 references.
References · 2
Built on by
Not cited yet.
Similar, not cited
Close in wording, no citation either way
- 2024Query-Efficient Planning with Language Models
- 2025Can LLM-Reasoning Models Replace Classical Planning? A Benchmark Study
- 2023CARTIER: Cartographic lAnguage Reasoning Targeted at Instruction Execution for Robots
- 2025Language-Enhanced Mobile Manipulation for Efficient Object Search in Indoor Environments
- 2023A Categorical Representation Language and Computational System for Knowledge-Based Planning
- 2023Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks
- 2025GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments
- 2026Structured World-State Reasoning for Agentic Robotic Search