4 papers
Mobility, Memory, and Network Structure in Agent-Based Models of Convention Tipping and Convergence
Joe Shymanski, Garrick Springer, Sandip Sen
Tipping-point dynamics describe the critical conditions under which a committed minority drives a population to abandon an established convention in favor of a new one. We present…
ChargingBoul: A Competitive Negotiating Agent with Novel Opponent Modeling
Joe Shymanski
Automated negotiation has emerged as a critical area of research in multiagent systems, with applications spanning e-commerce, resource allocation, and autonomous decision-making.…
Beyond Satisfaction: From Placebic to Actionable Explanations For Enhanced Understandability
Joe Shymanski, Jacob Brue, Sandip Sen
Explainable AI (XAI) presents useful tools to facilitate transparency and trustworthiness in machine learning systems. However, current evaluations of system explainability often r…
Not All Explanations are Created Equal: Investigating the Pitfalls of Current XAI Evaluation
Joe Shymanski, Jacob Brue, Sandip Sen
Explainable Artificial Intelligence (XAI) aims to create transparency in modern AI models by offering explanations of the models to human users. There are many ways in which resear…