Peter Stone's Selected Publications

Classified by TopicClassified by Publication TypeSorted by DateSorted by First Author Last NameClassified by Funding Source


Comparing Agents: Success against People in Security Domains

Raz Lin, Sarit Kraus, Noa Agmon, Samuel Barrett, and Peter Stone. Comparing Agents: Success against People in Security Domains. In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, August 2011.

Download

[PDF]387.5kB  

Abstract

The interaction of people with autonomous agents has become increasingly prevalent. Some of these settings include security domains, where people can be characterized as uncooperative, hostile, manipulative, and tending to take advantage of the situation for their own needs. This makes it challenging to design proficient agents to interact with people in such environments. Evaluating the success of the agents automatically before evaluating them with people or deploying them could alleviate this challenge and result in better designed agents. In this paper we show how Peer Designed Agents (PDAs) - computer agents developed by human subjects - can be used as a method for evaluating autonomous agents in security domains. Such evaluation can reduce the effort and costs involved in evaluating autonomous agents interacting with people to validate their efficacy. Our experiments included more than 70 human subjects and 40 PDAs developed by students. The study provides empirical support that PDAs can be used to compare the proficiency of autonomous agents when matched with people in security domains.

BibTeX Entry

@InProceedings{AAAI11-Lin,
  author = {Raz Lin and Sarit Kraus and Noa Agmon and Samuel Barrett and Peter Stone},
  title = {Comparing Agents: Success against People in Security Domains},
  booktitle = {Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence},
  location = {San Francisco, CA},
  month = {August},
  year = {2011},
  abstract={
    The interaction of people with autonomous agents has become increasingly
    prevalent. Some of these settings include security domains, where people can
    be characterized as uncooperative, hostile, manipulative, and tending to take
    advantage of the situation for their own needs. This makes it challenging to
    design proficient agents to interact with people in such environments.
    Evaluating the success of the agents automatically before evaluating them
    with people or deploying them could alleviate this challenge and result in
    better designed agents. In this paper we show how Peer Designed Agents (PDAs)
    - computer agents developed by human subjects - can be used as a method for
    evaluating autonomous agents in security domains. Such evaluation can reduce
    the effort and costs involved in evaluating autonomous agents interacting
    with people to validate their efficacy. Our experiments included more than 70
    human subjects and 40 PDAs developed by students. The study provides
    empirical support that PDAs can be used to compare the proficiency of
    autonomous agents when matched with people in security domains.
  }
}

Generated by bib2html.pl (written by Patrick Riley ) on Thu Dec 11, 2014 23:22:58