10 papers
Cyber Deception for Mission Surveillance via Hypergame-Theoretic Deep Reinforcement Learning
Zelin Wan, Jin-Hee Cho, Mu Zhu +3
Unmanned Aerial Vehicles (UAVs) are valuable for mission-critical systems like surveillance, rescue, or delivery. Not surprisingly, such systems attract cyberattacks, including Den…
Theory of Mind in Action: The Instruction Inference Task in Dynamic Human-Agent Collaboration
Fardin Saad, Pradeep K. Murukannaiah, Munindar P. Singh
Successful human-agent teaming relies on an agent being able to understand instructions given by a (human) principal. In many cases, an instruction may be incomplete or ambiguous.…
Gricean Norms as a Basis for Effective Collaboration
Fardin Saad, Pradeep K. Murukannaiah, Munindar P. Singh
Effective human-AI collaboration hinges not only on the AI agent's ability to follow explicit instructions but also on its capacity to navigate ambiguity, incompleteness, invalidit…
Right vs. Right: Can LLMs Make Tough Choices?
Jiaqing Yuan, Pradeep K. Murukannaiah, Munindar P. Singh
An ethical dilemma describes a choice between two "right" options involving conflicting moral values. We present a comprehensive evaluation of how LLMs navigate ethical dilemmas. S…
Reasoner Outperforms: Generative Stance Detection with Rationalization for Social Media
Jiaqing Yuan, Ruijie Xi, Munindar P. Singh
Stance detection is crucial for fostering a human-centric Web by analyzing user-generated content to identify biases and harmful narratives that undermine trust. With the developme…
A Benchmark for Cross-Domain Argumentative Stance Classification on Social Media
Jiaqing Yuan, Ruijie Xi, Munindar P. Singh
Argumentative stance classification plays a key role in identifying authors' viewpoints on specific topics. However, generating diverse pairs of argumentative sentences across vari…
Value-Based Rationales Improve Social Experience: A Multiagent Simulation Study
Sz-Ting Tzeng, Nirav Ajmeri, Munindar P. Singh
We propose Exanna, a framework to realize agents that incorporate values in decision making. An Exannaagent considers the values of itself and others when providing rationales for…
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning
Zelin Wan, Jin-Hee Cho, Mu Zhu +3
This paper introduces a novel approach, Decision Theory-guided Deep Reinforcement Learning (DT-guided DRL), to address the inherent cold start problem in DRL. By integrating decisi…
Norm Enforcement with a Soft Touch: Faster Emergence, Happier Agents
Sz-Ting Tzeng, Nirav Ajmeri, Munindar P. Singh
A multiagent system is a society of autonomous agents whose interactions can be regulated via social norms. In general, the norms of a society are not hardcoded but emerge from the…
Moral Sparks in Social Media Narratives
Ruijie Xi, Munindar P. Singh
There is increasing interest in building computational models of moral reasoning by people to enable effective interaction by Artificial Intelligence (AI) agents. We examine intera…