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Teamwork with Limited Knowledge of Teammates
TLDR
We develop a general-purpose teammate modeling method and test the resulting ad hoc team agent's ability to collaborate with more than 40 unknown teams of agents to accomplish a benchmark task. Expand
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BudgetFix: budget limited crowdsourcing for interdependent task allocation with quality guarantees
TLDR
Crowdsourcing is a multi-agent task allocation paradigm that involves up to millions of workers, of varying reliability and availability, performing large numbers of micro-tasks. Expand
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Modeling agents based on aspiration adaptation theory
TLDR
We present strong empirical evidence that agents should be based on bounded rationality, and specifically on key elements from Aspiration Adaptation Theory (AAT). Expand
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A Study of Scalability Properties in Robotic Teams
TLDR
We study groups that differ in their coordination algorithms, and note that they display increasing marginal returns only until a certain group size. Expand
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Making friends on the fly: Cooperating with new teammates
TLDR
This article focuses on a limited version of the ad hoc teamwork problem in which an agent knows the environmental dynamics and has had past experiences with other teammates in order to achieve a shared goal. Expand
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Identifying Missing Node Information in Social Networks
TLDR
In recent years, social networks have surged in popularity as one of the main applications of the Internet. Expand
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A Study of WhatsApp Usage Patterns and Prediction Models without Message Content
TLDR
We present an extensive study of the usage of the WhatsApp social network, an Internet messaging application that is quickly replacing SMS messaging. Expand
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A study of mechanisms for improving robotic group performance
TLDR
We present adaptive coordination methods that dynamically adjust the efforts spent on coordination to match the number of perceived coordination conflicts in a group. Expand
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Learning Teammate Models for Ad Hoc Teamwork
TLDR
This paper introduces an ad hoc agent that learns models of its teammates autonomously and plans its behavior using a sample-based method. Expand
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Solving the missing node problem using structure and attribute information
TLDR
An important area of social networks research is identifying missing information which is not explicitly represented in the network, or is not visible to all. Expand
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