This may seem crude and excludes cases of non-literal language use, lying, cheating and error from the start, but it may serve to rationalize common patterns of pragmatic reasoning among cooperative, information-seeking interlocutors.
In a functional magnetic resonance imaging paradigm using cartoons showing social interactions (including the outcome of the interaction) between two or three story characters, respectively, we sought to determine those brain areas of the ToM network involved in reasoning about cooperative versus deceptive interactions.
In this work we present a case-based reasoning approach for cooperative action selection, which relies on the storage, retrieval, and adaptation of example cases.
DIPS reasoning is the cooperative activity among a collection of agents coupled, as much as possible, in a decentralized and loose manner that eventually provides a solution to a given problem.
The reasoning of Yellow Cab Cooperative applies even more forcefully here.
To illustrate how iterated best response reasoning works in a simple (cooperative) case, let us look briefly at numerical expressions again.
The current findings from this study show that when conversation contains more positive sentiments, cooperative emotions, and more complex thinking and reasoning from multiple perspectives, prejudice will go down and the quality of the relationships will go up.
Integration of information from multiple sources is a key issue in many areas such as cooperative information systems, multi-databases and multi-agents reasoning systems, where information from different sources is often contradictory.
An analysis of >190 studies (reported in Johnson et al., 2000) strongly demonstrates that emphasizing processes of cooperative learning increases students' academic achievement, higher-level reasoning, retention, and motivation more than competitive or individual learning.
