paper-with-me

Papers

Analysis of OODA Loop based on Adversarial for Complex Game Environments

2022-03-25 · Xiangri Lu, Hongbin Ma, Zhanqing Wang

To address the problem of imperfect confrontation strategy caused by the lack of information of game environment in the simulation of non-complete information dynamic countermeasure modeling for intelligent game, the hierarchical analysis game strategy of confrontation model based on OODA ring (Observation, Orientation, Decision, Action) theory is proposed. At the same time, taking into account the trend of unmanned future warfare, NetLogo software simulation is used to construct a dynamic derivation of the confrontation between two tanks. In the validation process, the OODA loop theory is used to describe the operation process of the complex system between red and blue sides, and the four-step cycle of observation, judgment, decision and execution is carried out according to the number of armor of both sides, and then the OODA loop system adjusts the judgment and decision time coefficients for the next confrontation cycle according to the results of the first cycle. Compared with traditional simulation methods that consider objective factors such as loss rate and support rate, the OODA-loop-based hierarchical game analysis can analyze the confrontation situation more comprehensively.

📄 PDF Abstract BibTeX arXiv:2203.15502

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples

2020-02-08 · Changjian Chen, Jun Yuan, Yafeng Lu, Yang Liu 외

One major cause of performance degradation in predictive models is that the test samples are not well covered by the training data. Such not well-represented samples are called OoD samples. In this paper, we propose OoDA…

Out of Distribution (OOD) Detection

From State to Action: OODA-Tool for Reliable Multi-Turn Tool Use

2026-08-25 · Rongfeng Guo, Yinxuan Huang, Yusen Wu, Maoqing Zhong 외 arxiv

Reliable multi-turn tool use requires an agent to preserve an evolving task state and ensure that each action remains consistent with it. However, direct function-calling and ReAct-style policies learn state tracking and…

FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging

2019-09-26 · Doyen Sahoo, Wang Hao, Shu Ke, Wu Xiongwei 외

An important aspect of health monitoring is effective logging of food consumption. This can help management of diet-related diseases like obesity, diabetes, and even cardiovascular diseases. Moreover, food logging can he…

Management

Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization

2025-01-01 · CVPR 2025 1 · Long Xu, Jiakai Wang, Haojie Hao, Haotong Qin 외

Though achieving significant success in personalized image synthesis, Latent Diffusion Models (LDMs) pose substantial social risks caused by unauthorized misuse (e.g., face theft). To counter these threats, the Anti-…

AttributeImage Generation

RAPTOR-AI for Disaster OODA Loop: Hierarchical Multimodal RAG with Experience-Driven Agentic Decision-Making

2026-01-18 · Takato Yasuno arxiv

Humanitarian Assistance and Disaster Relief (HADR) operations demand rapid synthesis of multimodal information for time-critical decision-making under extreme uncertainty. Traditional information systems struggle with th…