1 citations · 1 across the 13 of their papers we have counts for
14 papers
Zero-Shot Goal Recognition with Large Language Models
Kin Max Piamolini Gusmão, Nathan Gavenski, Nir Oren +1
Large language models have recently reached near-parity with classical planners on well-known planning domains, yet this competence relies on world-knowledge exploitation rather th…
On the Existence of an Inverse Solution for Preference-Based Reductions in Argumentation
Alessio Zaninotto, Bruno Yun, Nir Oren +1
Preference-based argumentation frameworks (PAFs) extend Dung's approach to abstract argumentation (AAFs) by encoding preferences over arguments. Such preferences control the transf…
Designing for Accountable Agents: a Viewpoint
Stephen Cranefield, Nir Oren
AI systems are becoming increasingly complex, ubiquitous and autonomous, leading to increasing concerns about their impacts on individuals and society. In response, researchers hav…
Eliciting Rational Initial Weights in Gradual Argumentation
Nir Oren, Bruno Yun
Many semantics for weighted argumentation frameworks assume that each argument is associated with an initial weight. However, eliciting these initial weights poses challenges: (1)…
Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems
Chunyan Mu, Muhammad Najib, Nir Oren
Responsibility plays a key role in the development and deployment of trustworthy autonomous systems. In this paper, we focus on the problem of strategic reasoning in probabilistic…
Measuring Responsibility in Multi-Agent Systems
Chunyan Mu, Nir Oren
We introduce a family of quantitative measures of responsibility in multi-agent planning, building upon the concepts of causal responsibility proposed by Parker et al.~[ParkerGL23]…