Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Compared to automated entities, human trustees have two distinct characteristics: 1) they are resource constrained (with limited time and effort to serve requests), and 2) their utility is not linearly related to income. Existing research in reputation-aware task delegation did not consider these two issues together. This limits their effectiveness in human-agent collectives such as crowdsourcing systems. ,  propose a distributed reputation-aware task allocation approach - RATA-NL - to address these issues simultaneously. It is designed to help an individual human trustee determine the optimal number of task requests to accept at each time step based on his situation to maximize his long term ll-being. The resulting task allocation maximizes social lfare through efficient utilization of the collective capacity of the trustees, and provides provable performance guarantees. RATA-NL has been compared with five state-of-the-art approaches through extensive simulations based on human task delegation behavior abstracted from a user study involving over 100 trustees for eight eks. The results demonstrated significant advantages of RATA-NL, especially under high workload conditions.
['Han Yu', 'Chunyan Miao', 'Bo An', 'Zhiqi Shen', 'Cyril Leung']
I am writing a research paper on a idea Reputation-aware task allocation for human trustees
[{"from": "human", "value": "I am writing a research paper on a idea Reputation-aware task allocation for human trustees"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Compared to automated entities, human trustees have two distinct characteristics: 1) they are resource constrained (with limited time and effort to serve requests), and 2) their utility is not linearly related to income. Existing research in reputation-aware task delegation did not consider these two issues together. This limits their effectiveness in human-agent collectives such as crowdsourcing systems. ,  propose a distributed reputation-aware task allocation approach - RATA-NL - to address these issues simultaneously. It is designed to help an individual human trustee determine the optimal number of task requests to accept at each time step based on his situation to maximize his long term ll-being. The resulting task allocation maximizes social lfare through efficient utilization of the collective capacity of the trustees, and provides provable performance guarantees. RATA-NL has been compared with five state-of-the-art approaches through extensive simulations based on human task delegation behavior abstracted from a user study involving over 100 trustees for eight eks. The results demonstrated significant advantages of RATA-NL, especially under high workload conditions."}]