Journal of System Simulation
Abstract
Abstract: With the development of artificial intelligence technology, realizing intent recognition in human-computer interaction has become one of the key challenges. In this paper, the current research status of three fields was systematically sorted out, namely activity recognition, plan recognition, and goal recognition, and the progress from the problem proposal to the current development was analyzed. The main research approaches in each field were reviewed, and a survey of research on activity recognition, a development overview of plan recognition, and a retrospective analysis of hotspots in goal recognition were conducted. This general view of the problem helped to clarify and analyze the research landscape, aiming to provide inspiration for a unified approach to the problem of unifying activity, plan, and goal recognition in human-computer interaction. The paper on future research directions was provided, which pointed out that constructing a neuro-symbolic fusion reasoning framework, generating and refining robust prior knowledge, developing intent gaming theory in adversarial environments, and promoting technology iteration driven by cross-domain applications will be the focus of future research.
Recommended Citation
Zhang, Yi; Xu, Kai; Li, Shuilin; Chen, Dejun; Zeng, Yunxiu; and Peng, Yong
(2026)
"Key Problems of Intent Recognition Research: A Survey on Activity, Plan and Goal Recognition,"
Journal of System Simulation: Vol. 38:
Iss.
3, Article 7.
DOI: 10.16182/j.issn1004731x.joss.25-0157
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss3/7
First Page
620
Last Page
620
CLC
TP391.9
Recommended Citation
Zhang Yi, Xu Kai, Li Shuilin, et al. Key Problems of Intent Recognition Research: A Survey on Activity, Plan and Goal Recognition[J]. Journal of System Simulation, 2026, 38(3): 620-650.
DOI
10.16182/j.issn1004731x.joss.25-0157
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