What’s the Context? Implicit and Explicit Assumptions in Model-Based Goal Recognition

Peta Masters; Mor Vered

IJCAI 2021poster20 citations

What’s the Context? Implicit and Explicit Assumptions in Model-Based Goal Recognition

Abstract

Every model involves assumptions. While some are standard to all models that simulate intelligent decision-making (e.g., discrete/continuous, static/dynamic), goal recognition is well known also to involve choices about the observed agent: is it aware of being observed? cooperative or adversarial? In this paper, we examine not only these but the many other assumptions made in the context of model-based goal recognition. By exploring their meaning, the relationships between them and the confusions that can arise, we demonstrate their importance, shed light on the way trends emerge in AI, and suggest a novel means for researchers to uncover suitable avenues for future work.

Agent-based and multi-agent based systems: GeneralHumans and AI: GeneralPlanning and scheduling: General

BibTeX

@inproceedings{ijcai2021p615,
  title     = {What’s the Context? Implicit and Explicit Assumptions in Model-Based Goal Recognition},
  author    = {Masters, Peta and Vered, Mor},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Zhi-Hua Zhou},
  pages     = {4516--4523},
  year      = {2021},
  month     = {8},
  note      = {Survey Track},
  doi       = {10.24963/ijcai.2021/615},
  url       = {https://doi.org/10.24963/ijcai.2021/615},
}