Dynamic Conflict Resolution Using Justification Based Reasoning

TL;DR

This paper introduces a logical framework for modeling and resolving dynamic conflicts among autonomous agents in traffic scenarios, considering local perception, communication, and goal priorities.

Contribution

It presents a novel logical approach combining epistemic, modal, justification, and temporal logics to identify and resolve conflicts in dynamic multi-agent traffic environments.

Findings

Framework effectively models conflict situations.

Method enables conflict identification and resolution.

Supports incomplete information and communication among vehicles.

Abstract

We study conflict situations that dynamically arise in traffic scenarios, where different agents try to achieve their set of goals and have to decide on what to do based on their local perception. We distinguish several types of conflicts for this setting. In order to enable modelling of conflict situations and the reasons for conflicts, we present a logical framework that adopts concepts from epistemic and modal logic, justification and temporal logic. Using this framework, we illustrate how conflicts can be identified and how we derive a chain of justifications leading to this conflict. We discuss how conflict resolution can be done when a vehicle has local, incomplete information, vehicle to vehicle communication (V2V) and partially ordered goals.