2012
DOI: 10.1007/978-3-642-30353-1_25
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A Genetic and Social Computational Model for the Emergence of Skill-Based Agent Specialization

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Cited by 1 publication
(16 citation statements)
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“…The higher values of DOL and QOW are indicative of increase in specialization among the agents and that the task was performed by a more skilled agent. Cockburn and Kobti [13] created a weight allocated social inhibition approach whereby more skilled agents inhibit the desire of less skilled agents to perform a task. This approach drives agents toward tasks where they have comparative advantages.…”
Section: Introductionmentioning
confidence: 99%
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“…The higher values of DOL and QOW are indicative of increase in specialization among the agents and that the task was performed by a more skilled agent. Cockburn and Kobti [13] created a weight allocated social inhibition approach whereby more skilled agents inhibit the desire of less skilled agents to perform a task. This approach drives agents toward tasks where they have comparative advantages.…”
Section: Introductionmentioning
confidence: 99%
“…In their model, agents choose randomly among tasks with surpassed threshold or be inactive if no such task exists. They supposed that each time a task i is performed by an individual, the stimulus The decreased level of specialization in [13] and the identical rate of stimulus regeneration in [8] motivated us for the present work. In this paper, the model [13] is modified assuming the same characteristics of agents; varying skill levels for each task and the ability to divide resources among tasks.…”
Section: Introductionmentioning
confidence: 99%
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