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Stream-based perception for cognitive agents in mobile ecosystems

Autor: Dötterl, Jeremias, Bruns, Ralf, Dunkel, Jürgen, Ossowski, Sascha

Publikováno v: AI Communications, vol. 32, no. 4, pp. 271-286, 2019

Cognitive agent abstractions can help to engineer intelligent systems across mobile devices. On smartphones, the data obtained from onboard sensors can give valuable insights into the user's current situation. Unfortunately, today's cognitive agent f

Externí odkaz: http://arxiv.org/abs/2401.13604

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Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile Crowdsourcing

Autor: Bruns, Ralf, Dötterl, Jeremias, Dunkel, Jürgen, Ossowski, Sascha

Publikováno v: Sensors 2023, 23(2), 614

Mobile crowdsourcing refers to systems where the completion of tasks necessarily requires physical movement of crowdworkers in an on-demand workforce. Evidence suggests that in such systems, tasks often get assigned to crowdworkers who struggle to co

Externí odkaz: http://arxiv.org/abs/2401.12866

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On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using Streaming Data

Autor: Dötterl, Jeremias, Bruns, Ralf, Dunkel, Jürgen, Ossowski, Sascha

Publikováno v: Frontiers in Artificial Intelligence and Applications. Volume 325: ECAI 2020. Pages 51-58

In parcel delivery, the "last mile" from the parcel hub to the customer is costly, especially for time-sensitive delivery tasks that have to be completed within hours after arrival. Recently, crowdshipping has attracted increased attention as a new a

Externí odkaz: http://arxiv.org/abs/2401.12108

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