Multi-Agent System and Events Plan Construction Using PDDL

Logi for Multi - Agent Plan

Plan-execution health repair in a multi-agent system∗

This paper presents an algorithm for plan health repair in multi-agent plan execution. Plan-execution health repair aims at avoiding conflicts that might arise due to disruptions in the execution of a plan. This can be achieved by adjusting the executions of tasks instead of replanning the tasks. For this purpose, established methods from the domains of planning, discrete event systems, model-b...

Integration of a PDDL Planning Framework into the Multi-Agent Simulation System LAMPSys

LAMPSys is a general purpose multi-agent simulation platform that has successfully been used to simulate real-world domains during the last years. A hierarchical agent organization encapsulates decision making by planning centrally for a group of agents. This work introduces a specification framework for the generation of PDDL planning instances from a leader agent’s world model. The modeling o...

Multi-Agent Plan Recognition: Formalization and Algorithms

Multi-Agent Plan Recognition (MAPR) seeks to identify the dynamic team structures and team behaviors from the observations of the activity-sequences of a set of intelligent agents, based on a library of known team-activities (plan library). It has important applications in analyzing data from automated monitoring, surveillance, and intelligence analysis in general. In this paper, we formalize M...

Using DESs for Temporal Diagnosis of Multi-agent Plan Execution

The most common reason for plan repair are the violation of a plan’s temporal constraints. Air Traffic Control is an example of an area in which violations of the plan’s temporal constraints is rather a rule than an exception. In such domains there is a need for identifying the underlying causes of the constraint violations in order to improve plan repairs and to anticipate future constraint vi...