Cardoso, Rafael C 
ORCID: 0000-0001-6666-6954, Ferrando, Angelo ORCID: 0000-0002-8711-4670 and Papacchini, Fabio ORCID: 0000-0002-0310-7378
(2020)
LFC: Combining Autonomous Agents and Automated Planning in the
Multi-Agent Programming Contest.
In: Multi-Agent Programming Contest, MAPC 2019.
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2006.02736v1.pdf - Submitted version Download (611kB) | Preview |
Abstract
The 2019 Multi-Agent Programming Contest introduced a new scenario, Agents Assemble, where two teams of agents move around a 2D grid and compete to assemble complex block structures. In this paper, we describe the strategies used by our team that led us to achieve first place in the contest. Our strategies tackle some of the major challenges in the 2019 contest: how to explore and build a map when agents only have access to local vision and no global coordinates; how to move around the map efficiently even though there are dynamic events that can change the cells in the grid; and how to assemble and submit complex block structures given that the opposing team may try to sabotage us. To implement our strategies, we use the multi-agent systems development platform JaCaMo to program our agents and the Fast Downward planner to plan the movement of the agent in the grid. We also provide a brief discussion of our matches in the contest and give our analysis of how our team performed in each match.
| Item Type: | Conference or Workshop Item (Unspecified) |
|---|---|
| Uncontrolled Keywords: | cs.MA, cs.MA |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 08 Jun 2020 09:04 |
| Last Modified: | 18 Jan 2023 23:49 |
| DOI: | 10.1007/978-3-030-59299-8_2 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3089755 |
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