4 papers
Explainability Framework for Policy-Aware Autonomous Agents
Heather Merhout, Daniela Inclezan
In the field of Artificial Intelligence, an agent is a system which is able to autonomously make decisions in order to reach a desired goal. As these systems grow more prevalent in…
Proceedings 41st International Conference on Logic Programming
Martin Gebser, Daniela Inclezan, Francesco Ricca +2
Since the first conference in Marseille in 1982, the International Conference on Logic Programming (ICLP) has been the premier international event for presenting research in logic…
Autonomous Agents and Policy Compliance: A Framework for Reasoning About Penalties
Vineel Tummala, Daniela Inclezan
This paper presents a logic programming-based framework for policy-aware autonomous agents that can reason about potential penalties for non-compliance and act accordingly. While p…
Architecture for Simulating Behavior Mode Changes in Norm-Aware Autonomous Agents
Sean Glaze, Daniela Inclezan
This paper presents an architecture for simulating the actions of a norm-aware intelligent agent whose behavior with respect to norm compliance is set, and can later be changed, by…