{
  "title": "DEC-MAPF: A Simulation and Experimentation Framework for Decentralized Multi-Agent Path Finding",
  "version": "0.1.0a1",
  "license": "MIT",
  "upload_type": "software",
  "description": "Python simulation and experimentation framework for Decentralized Multi-Agent Path Finding: shared scenarios, decentralized and centralized solver comparisons, independent trajectory validation, reproducible studies and an optional visual workspace. Current decentralized methods use negotiation; additional methods integrate through documented solver contracts. Alpha software.",
  "creators": [
    {
      "name": "Keskin, Mehmet Onur",
      "affiliation": "Ozyegin University",
      "orcid": "0000-0002-8025-4304"
    },
    {
      "name": "Cantürk, Furkan",
      "affiliation": "Ozyegin University"
    },
    {
      "name": "Eran, Cihan",
      "affiliation": "Ozyegin University"
    },
    {
      "name": "Aydoğan, Reyhan",
      "affiliation": "Ozyegin University & Delft University of Technology"
    }
  ],
  "keywords": [
    "Multi-Agent Path Finding",
    "MAPF",
    "Multi-Agent Simulation",
    "Reproducible Experiments",
    "Automated Negotiation",
    "Decentralized Planning",
    "Multi-Agent Systems",
    "Space-Time A*",
    "JAAMAS"
  ]
}