Humans Amidst Automation: Competition, Learning, and Uncertainty
Roy Dong, Lillian Ratliff

Citation
Roy Dong, Lillian Ratliff. "Humans Amidst Automation: Competition, Learning, and Uncertainty". Talk or presentation, 23, August, 2017.

Abstract
In the last few years, FORCES researchers have developed a theory of resilience and economics incentives in cyber-physical systems. In this talk, we discuss some of our recent research directions, which grew out of the methodologies and approaches created by FORCES. In this talk we will discuss a variety of topics which we are currently studying including a) how competition interacts with control and estimation of cyber-physical systems, b) how learning can be done when the data is generated by strategic agents, and c) how agents and markets respond to uncertainty. To such end, we outline some of our current research which we hope to extend to such settings, including: a) regret minimization techniques for the control of Markov decision processes, b) the learning of agent's preferences in dynamical systems when they are risk-sensitive, c) the effect of competition between data buyers when the data sources are strategically interacting with incentives, and d) a combinatorial optimization framework for closing the loop on analytics. Looking forward, we envision this work to be the basis of a new research agenda on new market structures formed by pervasive, disruptive technologies which are impetus for the digital transformation we are experiencing.

Electronic downloads

(No downloads are available for this publication.)

Citation formats

• HTML

  Roy Dong, Lillian Ratliff. <a
  href="http://www.cps-forces.org/pubs/262.html"
  ><i>Humans Amidst Automation: Competition,
  Learning, and Uncertainty</i></a>, Talk or
  presentation,  23, August, 2017.

• Plain text

  Roy Dong, Lillian Ratliff. "Humans Amidst Automation:
  Competition, Learning, and Uncertainty". Talk or
  presentation,  23, August, 2017.

• BibTeX

  @presentation{DongRatliff17_HumansAmidstAutomationCompetitionLearningUncertainty,
      author = {Roy Dong and Lillian Ratliff},
      title = {Humans Amidst Automation: Competition, Learning,
                and Uncertainty},
      day = {23},
      month = {August},
      year = {2017},
      abstract = {In the last few years, FORCES researchers have
                developed a theory of resilience and economics
                incentives in cyber-physical systems. In this
                talk, we discuss some of our recent research
                directions, which grew out of the methodologies
                and approaches created by FORCES. In this talk we
                will discuss a variety of topics which we are
                currently studying including a) how competition
                interacts with control and estimation of
                cyber-physical systems, b) how learning can be
                done when the data is generated by strategic
                agents, and c) how agents and markets respond to
                uncertainty. To such end, we outline some of our
                current research which we hope to extend to such
                settings, including: a) regret minimization
                techniques for the control of Markov decision
                processes, b) the learning of agent's preferences
                in dynamical systems when they are risk-sensitive,
                c) the effect of competition between data buyers
                when the data sources are strategically
                interacting with incentives, and d) a
                combinatorial optimization framework for closing
                the loop on analytics. Looking forward, we
                envision this work to be the basis of a new
                research agenda on new market structures formed by
                pervasive, disruptive technologies which are
                impetus for the digital transformation we are
                experiencing. },
      URL = {http://cps-forces.org/pubs/262.html}
  }
  

Posted by Carolyn Winter on 24 Aug 2017.
Groups: forces
For additional information, see the Publications FAQ or contact webmaster at cps-forces org.