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LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay

Conference on Empirical Methods in Natural Language Processing, 2023
This paper explores the open research problem of understanding the social behaviors of LLM-based agents. Using Avalon as a testbed, we employ system prompts to guide LLM agents in gameplay. While previous studies have touched on gameplay with LLM agents,
Yihuai Lan   +8 more
semanticscholar   +1 more source

A Learning-Based Spectrum Access Stackelberg Game: Friendly Jammer-Assisted Communication Confrontation

IEEE Transactions on Vehicular Technology, 2021
Defensive and offensive capabilities are both significant in communication confrontation games. By exploiting the above two capabilities, a new confrontation mechanism in the spectrum domain between two opposing teams denoted as the blue team (BT) and ...
Nan Qi   +6 more
semanticscholar   +1 more source

UAV Swarm Confrontation Based on Multi-agent Deep Reinforcement Learning

Cybersecurity and Cyberforensics Conference, 2022
Multi-agent deep reinforcement learning (MADRL) has attracted a tremendous amount of interest in recent years. In this paper, we introduce MADRL into the confrontation scene of Unmanned Aerial Vehicle (UAV) swarm.
Zhi Wang   +6 more
semanticscholar   +1 more source

Prejudice confrontation styles: A validated and reliable measure of how people confront prejudice

Group Processes & Intergroup Relations, 2021
While research has demonstrated that confrontations of prejudice serve as effective prejudice reduction tools and as a coping mechanism for targets of prejudice, research has yet to identify a validated measurement of prejudice confrontation styles.
K. Chaney, D. Sanchez
semanticscholar   +1 more source

Athlete doping confrontation efficacy and confrontation likelihood

Psychology of Sport and Exercise, 2023
Evidence supports the role of coach doping confrontation efficacy (DCE; Sullivan et al., 2015) as a deterrent against athletes' doping cognitions (Boardley et al., 2019; Sullivan & Razavi, 2017), but the role of the athlete has largely been ignored. Current anti-doping campaigns encourage athletes to report doping misconduct (i.e., whistleblowing), but
Tyler S. Harris   +2 more
openaire   +2 more sources

Research on UAV Swarm Confrontation Task Based on MADDPG Algorithm

2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE), 2020
In recent years, with the rapid development of UAV technology, the demand of anti-UAV technology is increasingly urgent. Among the existing soft and hard means to counter the attack of UAV swarm, countering UAV swarm by UAV swarm is an important way to ...
L. Xiang, Tao Xie
semanticscholar   +1 more source

Offense–defense confrontation decision making for dynamic UAV swarm versus UAV swarm

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2019
This paper studies a dynamic swarm versus swarm unmanned aerial vehicle (UAV) combat problem and proposes a self-organized offense–defense confrontation decision-making (ODCDM) algorithm.
Dongjing Xing, Z. Zhen, Huajun Gong
semanticscholar   +1 more source

Confrontation

Critical Care Nursing Quarterly, 2019
The critical care environment is rife with stressors for patients, families, and health care providers, which can act as causative and contributing factors to miscommunication and conflict. This article reviews the adverse effect of the stress response on cognitive functioning, along with tools to mitigate the stress response and respond using ...
openaire   +2 more sources

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