ACRL Membership Meeting Favors Federation

Membership Categorisation Analysis , Sequences and Meeting Talk

This paper examines the sequential and categorical features of team members' talk within multidisciplinary meetings. An examination of turn taking, topic management and extended sequences in team members' talk is carried out through the analysis of naturally occurring data. In addition, the observable means through whichùnderstanding' is socially accomplished as a recognisable feature of team m...

Meeting Update-World Federation of Neuro-Oncology Societies (WFNOS) Meeting 2017.

16-899C ACRL Tetris Reinforcement Learner

Our approach to this problem was to use reinforcement learning with a function approximator to approximate the state value function [RSS98]. In our case, a +1 reward was given for every completed line, so that the value function would encode the long-term number of lines that is going to be completed by the algorithm. In order to achieve this, we extract features from the game state, and use gr...

Trading Favors

We study cooperation when agents interact with each other only infrequently (via weak links). Such interactions usually invite defection by both sides unless agents are altruistic, or there exist information aggregation institutions that facilitate the use of group punishments. We show that agents can nevertheless sustain cooperation if requests for help can be relayed. This mechanism creates l...

Trading Favors

There are many real life situations in which large groups of agents cooperate even though any particular pair of agents interacts only rarely with one another. For example, Granovetter (1974) analyzed how workers get matched to new jobs and showed that a majority of workers found new jobs through referrals provided by ’weak links’ with other agents (see Granovetter (1973)). Such a referral freq...