arXiv cs.AI· Julius Monsen, Jakob Suchan, Mehul Bhatt·· 2 天前AI 评分20
基于 ASP 的移动物体预期常识框架：交互轨迹预测推理
Anticipatory Commonsense with Moving Objects: An ASP-Based Framework for Predictive Reasoning with Interacting Trajectories
AI 导读
研究者提出一种基于 ASP 的声明式混合框架，用于复杂动态环境中交互运动的预期推理，整合了交互轨迹动力学 ASP 模型、语义引导的"分支轨迹未来"预测，以及基于能量的优化模型来评估、排序和过滤预期结果。
正文 · 原文
Abstract:We present a general declarative framework for anticipatory reasoning about interactive motion in complex dynamic environments. Our focus is on (explainable) anticipatory space-time mental model formation at a semantic level to heuristically guide low-level motion computation. Our method is hybrid, modular and elaboration tolerant integrating: 1) An ASP model characterising the dynamics of interactive motion trajectories; 2) Semantically-guided prediction for deriving `branching trajectory futures'; and 3) An energy-based {optimisation} model to evaluate, rank and filter anticipations. We evaluate with the Argoverse 2 benchmark, where each anticipated trajectory carries an explicit, inspectable event-level hypothesis, unlike end-to-end stochastic prediction.
| Comments: | Accepted at ACS 2026 / Advances in Cognitive Systems 2026. (to appear) |
| Subjects: | Artificial Intelligence (cs.AI); Logic in Computer Science (cs.LO) |
| Cite as: | arXiv:2610.20867 [cs.AI] |
| (or arXiv:2610.20867v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.20867 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Mehul Bhatt [view email]
[v1]
Wed, 14 Oct 2026 19:56:20 UTC (1,709 KB)
来源：arXiv cs.AI · arxiv.org