By Francisco Grimaldo, Emma Norling
This booklet constitutes the completely refereed post-conference lawsuits of the fifteenth foreign Workshop on Multi-Agent-Based Simulation, MABS 2014, held in Paris, France, in could 2014. The workshop used to be held together with the thirteenth overseas convention on self sustaining brokers and Multiagent structures, AAMAS 2014.
The 17 revised complete papers integrated during this quantity have been conscientiously chosen from various submissions. The papers are prepared in topical sections on simulation methodologies, simulation of social behaviour, facts and multi-agent-based simulation and applications.
Read or Download Multi-Agent-Based Simulation XV: International Workshop, MABS 2014, Paris, France, May 5-6, 2014, Revised Selected Papers PDF
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Additional resources for Multi-Agent-Based Simulation XV: International Workshop, MABS 2014, Paris, France, May 5-6, 2014, Revised Selected Papers
The “Social Intelligence Hypothesis”  suggests that the main adaptive advantage that our brains give us is our ability to socially organize. In this view our brains provide us with social intelligence ﬁrst (for example abilities to: recognize other individuals, to develop a personal identity relative to a group, to be able to communicate, to be sensitive to status, to imitate, to train our offspring for a long time, and to adsorb a whole culture when experienced over a long time); any “general” intelligence we have as individuals is a by-product of these social abilities.
This research was partially supported by the Engineering and Physical Sciences Research Council, grant number EP/H02171X/1. Many thanks to Emma Norling, who ﬁrst worked on these kinds of models at the CPM, Nanda Wijermans and JP Hofestede more recently, and all those I have discussed this and previous versions of this model with, including those at the Manchester Complexity Seminar, especially Alan McKane, and those at iEMSs conference in 2012 for discussions on this subject. References 1. : Distributed artiﬁcial intelligence and object-oriented modelling of a ﬁshery.
9, although this apparently simple summary might not reflect what is happening within a more complex spatial dynamic. There are, of course, more complex mixes of dynamics where the pattern is not so distinguishable to the eye. Some Illustrative General Results. As we see from Figs. 10 and 11 below, the agents have a consistent and negative impact upon the ecologies of other entities they invade, but, generally, a higher negative impact at higher levels of migration, which tends to make the ecologies more uniform.