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Call for papers – Formal Verification & Modeling in Human-Machine Systems AAAI 2014

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 Formal Verification & Modeling in Human-Machine Systems AAAI 2014
Spring Symposium (FVHMS 2014)
March 24-26, 2014

Webpage: http://faculty.cs.byu.edu/~mike/mikeg/WORKSHOP/

Held in conjunction with the AAAI 2014 Symposium in Palo Alto, CA

The goal of the workshop is to bring together the fields of formal verification, cognitive modeling, and task analysis to study the design and verification of real human-machine systems. Recent papers in each of these communities discuss modeling challenges and the application of basic formal verification in human-machine interaction; however, there is little communication between researchers in these different areas and there are many open questions that require cross-disciplinary collaboration. The workshop is to bring together experts from many communities in an environment where it is possible to explore key research areas, common solutions, near-term research problems, and advantages in combining the best of the different communities.

We solicit papers describing original work either in-progress or finished, position papers or extended abstracts describing research or positions. Papers should follow the AAAI formatting, with a page-limit of 6 pages. Proceedings of the symposium will be published by AAAI as a CD, distributed at the symposium. Selected papers will be invited to submit extended versions of their contributions for review in a follow-on special issue of the IEEE Transactions on Human-Machine Systems dedicated to the same topic.

Topics of Interest:

  •  What model classes, methodologies, and constructs are appropriate for modeling human and machine activities in a way that is amenable to formal verification? Examples include           
    • Programming languages
    • State Machines
    • Activity models (e.g. Brahms)
    • Cognitive models (SOAR, ACT-R, DIARC, etc.)
    •  Task analyses-based models (GDTA, CWA, etc.)
    • Probabilistic models
    • Behavioral game theory  
  •  What levels of abstraction are appropriate for such modeling, and what information is lost in using abstraction?
  • What are the contexts, if any, for which the trade offs between authority between humans, autonomy, and model-based reasoning can be specified?
  • What is the impact on design for including explicit (meta-) reasoning models in the human-machine interaction loop?
  • What types of model-checkers are appropriate, and what other lessons from formal verification apply to human-machine systems?
  • What are the ethical considerations of using verified models to allocate responsibility and authority between humans and machines?
  • What organizational structures are appropriate for human-machine collaborative work?           
  • How can dynamic models evolve in the presence of learning agents, both human and machine, and in the presence of inaccurate mental models.
    • Master-slave
    • Teammates         
    • Principal-agent

Important Dates:
Oct 18, 2013: Submission deadline
Dec 10, 2013: Notification of acceptance/rejection
Jan 10, 2014: Camera-ready papers due
Mar 1, 2014: Registration deadline
March 24-26, 2014: Symposium

Ellen Bass, Drexel University, USA
Michael Goodrich, Brigham Young University, USA
Eric Mercer, Brigham Young University, USA
Neha Rungta, NASA Ames Research Center, USA

Invited Speakers:
Amy Pritchett, Georgia Tech, USA
Philippe Palanque, IRIT, University Paul Sabatier, France

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