Abstract | ||
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To facilitate further research in emergent turn-taking, we propose a metric for evaluating the extent to which agents take turns using a shared resource. Our measure reports a turn-taking value for a particular time and a particular timescale, or 芒聙聹resolution,芒聙聺 in a way that matches intuition. We describe how to evaluate the results of simulations where turn-taking may or may not be present and analyze the apparent turn-taking that could be observed between random independent agents. We illustrate the use of our turn-taking metric by reinterpreting previous work on turn-taking in emergent communication and by analyzing a recorded human conversation. |
Year | DOI | Venue |
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2012 | 10.1177/1059712311421831 | Adaptive Behaviour |
Keywords | Field | DocType |
random independent agent,emergent communication,particular time,particular timescale,turn-taking value,emergent turn-taking,recorded human conversation,previous work,shared resource,apparent turn-taking,decentralized system,multi agent system,multi agent systems,resource allocation | Conversation,Turn-taking,Computer science,Intuition,Multi-agent system,Resource allocation,Artificial intelligence,Shared resource | Journal |
Volume | Issue | ISSN |
20 | 2 | 1059-7123 |
Citations | PageRank | References |
2 | 0.36 | 24 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Peter A Raffensperger | 1 | 2 | 0.70 |
Russell Y. Webb | 2 | 6 | 2.86 |
Philip J. Bones | 3 | 12 | 4.80 |
Allan I Mcinnes | 4 | 9 | 4.32 |