I wrote this on a forum for a class I had.

I was thinking about framing team membership with fuzzy sets.

1. Need a good way to keep up-to-date on how likely each of the other agents are part of your team

2. How to tell how others perceive you being in particular teams.

The fuzzy set is a framework for describing how likely you are part of a particular set (ie team).

This could then inform decision making, communication, coordination, etc.

Some links a friend in class suggested.

http://link.springer.com/chapter/10.1007%2F978-3-540-85863-8_11

http://tavana.us/publications/SOCCER-TEAM.pdf

My response:

So, the reason I was thinking this might be useful is when an agent (robot) is part of multiple teams. Using various weighted metrics such as number of interactions, proximity to other members, communication and availability (metrics might be overlapping…) the “fuzziness” of being part of the team could be established.

Now just need to figure out a specific case where we have dynamic teams that having this info helps.

http://dl.acm.org/citation.cfm?id=756932

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.14.9562&rep=rep1&type=pdf

assuming a team is a coalition.

Current (5/10/14): Now I am thinking that this will go well with my “Friendship Network” idea.  Especially when using the bounties.