Evaluate the collective function of references cited together in a given text segment.
Classify their combined role into one of the following categories: 'method', 'background', or 'result'.

Text:, 2012; Bergen et al., 2012) but also for studying children’s pragmatic abilities without implicitly assuming they have mastered challenging linguistic structures (Stiller et al., 2011). In this paper, we extend these results beyond simple reference games to full decision-problems in which the agents reason about language and action together over time. To do this, we use the Decentralized Partially Observable Markov Decision Process (Dec-POMDP) to implement agents that are capable of manipulating the multiply-nested belief structures required for implicature calculation. Optimal decision making in Dec-POMDPs is NEXP complete, so we employ the single-agent POMDP approximation of Vogel et al. (2013). We show that agents in the Dec-POMDP reach implicature-rich interpretations simply as a byproduct of the way they reason about each other to maximize joint utility.
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