# Justification Based Reasoning in Dynamic Conflict Resolution

## TL;DR

This paper introduces a logical framework for modeling and resolving dynamic conflicts in traffic scenarios involving multiple agents with local perceptions and incomplete information.

## Contribution

It presents a novel logical approach combining epistemic, modal, justification, and temporal logics to identify conflicts and derive justifications in dynamic traffic situations.

## Key findings

- Framework effectively models conflict identification
- Enables reasoning with incomplete and local information
- Supports conflict resolution strategies in traffic scenarios

## 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.