Abstract
Dynamic task allocation is an essential aspect in modeling ant behaviour [1],[2]. In this paper, we propose a new (abstract) model for dynamic task allocation of agents that combines a nested layered architecture with a threshold mechanism. We apply this new model to achieve flexible ant behaviour.
To describe the actions of an agent, we describe a task allocation model based on behaviours and sub-behaviours that are associated with stimuli. At any time, an agent is performing one particular sub-behaviour within one behaviour. Changing stimuli may lead to reallocation of sub-behaviour or even the behaviour of the agent. A behaviour is a (course-grain) task an agent can perform. Behaviours can be seen as a collection of smaller, more primitive parts, called sub-behaviours.
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© 2002 Springer-Verlag Berlin Heidelberg
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De Wolf, T., Jaco, L., Holvoet, T., Steegmans, E. (2002). A Nested Layered Threshold Model for Dynamic Task Allocation. In: Dorigo, M., Di Caro, G., Sampels, M. (eds) Ant Algorithms. ANTS 2002. Lecture Notes in Computer Science, vol 2463. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45724-0_30
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DOI: https://doi.org/10.1007/3-540-45724-0_30
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44146-5
Online ISBN: 978-3-540-45724-4
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