Multi-Agent Epistemic Planning with Common Knowledge

Abstract

In the past decade, multi-agent epistemic planning has received much attention from both dynamic logic and planning communities. Common knowledge is an essential part of multi-agent modal logics, and plays an important role in coordination and interaction of multiple agents. However, existing implementations of multi-agent epistemic planning provide very limited support for common knowledge, basically static propositional common knowledge. Our work aims to extend an existing multi-agent epistemic planning framework based on higher-order belief change with the capability to deal with common knowledge. We propose a novel normal form for multi-agent KD45 logic with common knowledge. We propose satisfiability solving, revision and update algorithms for this normal form. Based on our algorithms, we implemented a multi-agent epistemic planner with common knowledge called MEPC. Our planner successfully generated solutions for several domains that demonstrate the typical usage of common knowledge.

Cite

Text

Liu and Liu. "Multi-Agent Epistemic Planning with Common Knowledge." International Joint Conference on Artificial Intelligence, 2018. doi:10.24963/IJCAI.2018/264

Markdown

[Liu and Liu. "Multi-Agent Epistemic Planning with Common Knowledge." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/liu2018ijcai-multi/) doi:10.24963/IJCAI.2018/264

BibTeX

@inproceedings{liu2018ijcai-multi,
  title     = {{Multi-Agent Epistemic Planning with Common Knowledge}},
  author    = {Liu, Qiang and Liu, Yongmei},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {1912-1920},
  doi       = {10.24963/IJCAI.2018/264},
  url       = {https://mlanthology.org/ijcai/2018/liu2018ijcai-multi/}
}