Lecture

Distributed Intelligent Systems: Task Allocation and Coordination

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In course

ENG-466: Distributed intelligent systems

The goal of this course is to provide methods and tools for modeling distributed intelligent systems as well as designing and optimizing coordination strategies. The course is a well-balanced mixture of theory and practical activities. ...

Description

This lecture by the instructor covers the concepts of task allocation and coordination in distributed intelligent systems. The lecture discusses different approaches such as market-based and threshold-based algorithms, emphasizing the trade-offs between efficiency and resource utilization. Various metrics and experiments are presented to evaluate the performance of these algorithms under different conditions. The lecture concludes by highlighting the key takeaways related to the division of labor in natural and artificial systems, as well as the importance of design choices in developing effective algorithms.

Instructor

Alcherio Martinoli

I received my Diploma in Electrical Engineering from the Swiss Federal Institute of Technology in Zurich (ETHZ), and a Ph.D. in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL). I am currently an Associate Professor at the School of Architecture, Civil, and Environmental Engineering and the head of the Distributed Intelligent Systems and Algorithms Laboratory. Before joining EPFL I carried out research activities at the Institute of Biomedical Engineering of the ETHZ, at the Institute of Industrial Automation of the Spanish Research Council in Madrid, Spain, and at the California Institute of Technology, Pasadena, U.S.A. Additional information can be found on my full CV.

Official source

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