Abstract
This research describes a novel approach to incorporating navigation in a general planning process. Five planning control strategies are articulated for combining "primitive rules" (which directly solve problems) with "recursive rules" (which decompose problems into combinations of problems of the same form). The combined rules are applied to carry out navigation and generalized planning, utilizing the observation that a "planning-aided navigation" problem can be decomposed automatically into smaller planning-aided navigation problems, and hence addressed by vertical recursive rules. The approach is illustrated in a MineCraft construction domain, using an agent that is able to build blocks to create a path to reach an initially unreachable target, e.g., a path finding task in which parts of the path must be constructed during the course of navigation/planning, such as building a bridge to fill a gap on the way to the target location.
Original language | English |
---|---|
Title of host publication | IntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference |
Publisher | IEEE |
Pages | 847-854 |
Number of pages | 8 |
ISBN (Electronic) | 9781467376068 |
DOIs | |
Publication status | Published - 18 Dec 2015 |
Event | SAI Intelligent Systems Conference, IntelliSys 2015 - CCT Venues Plus-Bank Street, London, United Kingdom Duration: 10 Nov 2015 → 11 Nov 2015 |
Conference
Conference | SAI Intelligent Systems Conference, IntelliSys 2015 |
---|---|
Country/Territory | United Kingdom |
City | London |
Period | 10/11/15 → 11/11/15 |
Keywords
- Automatic recursive goal decomposition
- MineCraft agents
- planning-aided navigation
- recursive rules
- vertically decomposing of numeric goals
ASJC Scopus subject areas
- Computer Science Applications
- Artificial Intelligence
- Information Systems