Practical applications of multiagent shepherding for human-machine interaction

Patrick Nalepka*, Rachel W. Kallen, Anthony Chemero, Elliot Saltzman, Michael J. Richardson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

7 Citations (Scopus)


The shepherding problem is interesting for multiagent systems research as it requires multiple actors (e.g., dogs, humans) to exert indirect control over autonomous agents (e.g., sheep, cattle) for containment or transportation. Accordingly, plenty of research has focused on designing algorithms for robotic agents to solve such tasks. Almost no research, however, has utilized this task to investigate human-human or human-machine interactions, even though the shepherding problem encapsulates desirable qualities for an experimental paradigm to investigate the dynamics of human group and mixed-group coordination in complex tasks. This paper summarizes our recent research that has employed the shepherding problem to study complex multiagent human-human and human-machine interaction. The paper concludes with a discussion of practical applications for using the shepherding problem for the design of assistive agents that can be incorporated into human groups or enhance training and human learning.

Original languageEnglish
Title of host publicationAdvances in practical applications of survivable agents and multi-agent systems
Subtitle of host publicationThe PAAMS Collection - 17th International Conference, PAAMS 2019, Proceedings
EditorsYves Demazeau, Eric Matson, Juan Manuel Corchado, Fernando De la Prieta
Place of PublicationSwitzerland
PublisherSpringer, Springer Nature
Number of pages12
ISBN (Electronic)9783030242091
ISBN (Print)9783030242084
Publication statusPublished - 2019
Event17th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2019 - Ávila, Spain
Duration: 26 Jun 201928 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11523 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2019


  • multiagent coordination
  • shepherding
  • human-machine interaction


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