Dynamic taxi pricing

This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License. This research is supported by the award made by the RCUK Digital Economy theme to the dot.rural Digital Economy Hub, award reference: EP/G066051/1.Peer reviewedPublisher PD

Semantics for Evidence-Based Argumentation

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Bounded-Monitor Placement in Normative Environments

ISSN: 16130073 Funding: This work is partially supported by grants from CNPq/Brazil numbers 132339/2016-1 and 305969/2016-1.Publisher PD

Generosity and the Emergence of Forgiveness in the Donation Game

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Evolving Neural Networks for the Capture Game

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Revisiting MAB based approaches to recursive delegation

In this paper we examine the effectiveness of several multi-arm bandit algorithms when used as a trust system to select agents to delegate tasks to. In contrast to existing work, we allow for recursive delegation to occur. That is, a task delegated to one agent can be delegated onwards by that agent, with further delegation possible until some agent finally executes the task. We show that modifications to the standard multi-arm bandit algorithms can provide improvements in performance in such recursive delegation settings

Preferences and Unrestricted Rebut

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