Abstract
Scheduling a set of constrained resources is a difficult task, specially when there is no clear definition of ‘optimal’. When the constraints depend not only on physical or temporal issues but also in human desires or preferences the task gets harder. This is the case of educational resources, for example when a set of students must be distributed into a limited set of laboratories to attend to periodical practical sessions, in this case weekly. The preferences of the students may vary during the process for reasons such as the number of people already in that group. This paper presents a socio–inspired solution implemented as a multiagent system. The agents enroll themselves in the lab sessions based on their preferences and negotiate with other agents, using the resources they already have, to obtain desired groups that were already full.
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Cano, J.I., Anguiano, E., Pulido, E., Camacho, D. (2011). Educational Resource Scheduling Based on Socio-inspired Agents. In: Cordeiro, J., Ranchordas, A., Shishkov, B. (eds) Software and Data Technologies. ICSOFT 2009. Communications in Computer and Information Science, vol 50. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20116-5_17
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DOI: https://doi.org/10.1007/978-3-642-20116-5_17
Publisher Name: Springer, Berlin, Heidelberg
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