A General Multi-agent Epistemic Planner Based on Higher-order Belief Change
Authors: Xiao Huang, Biqing Fang, Hai Wan, Yongmei Liu
IJCAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Our experimental results show the viability of our approach. Our experiments were run on a Linux machine with 2.50GHz CPU and 4GB RAM. Our experimental results are shown in Table 1. |
| Researcher Affiliation | Academia | Xiao Huang, Biqing Fang, Hai Wan, Yongmei Liu Dept. of Computer Science, Sun Yat-sen University, Guangzhou 510006, China {huangx233,fangbq3}@mail2.sysu.edu.cn, {wanhai,ymliu}@mail.sysu.edu.cn |
| Pseudocode | No | The paper describes algorithms in text, for example in Section 4 'Our Algorithms', but does not present a formal pseudocode block or a clearly labeled algorithm section. |
| Open Source Code | Yes | 1The link to our planner and domain sources is: https://github.com/sysulic/MEPK. |
| Open Datasets | No | We evaluate MEPK with Selective-communication (SC) and Collaboration-and-communication (CC) domains adapted from [Kominis and Geffner, 2015], and Grapevine from [Muise et al., 2015], where SC is called Corridor. We also made up three domains: Assembly-line (AL), and domains adapted from the classic Gossip problem [Attamah et al., 2014] and the knowledge game Hexa [van Ditmarsch, 2001]. |
| Dataset Splits | No | The paper does not explicitly provide details about training/validation/test dataset splits, percentages, or sample counts. |
| Hardware Specification | Yes | Our experiments were run on a Linux machine with 2.50GHz CPU and 4GB RAM. |
| Software Dependencies | No | Based on the theoretic work, we have developed EPDDL an extension of PDDL [Mc Dermott et al., 1998], to describe multi-agent epistemic planning problems, and with naive implementations of Satoh s revision and Winslett s update operators, implemented a multi-agent epistemic planner MEPK. |
| Experiment Setup | No | In this section, we present our modeling framework for multi-agent epistemic planning (MEP), which is adapted from that for single-agent epistemic planning in [Wan et al., 2015]. |