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In the simulation results shown in later section, we will show that the proposed scheme can still achieve the equilibria with better performances than those of the no-jammer case.
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Notably, although this two-gene, two-trait model makes equivalent 'long-term' predictions as the single-trait based approaches, this model places additional constraints on the order and size of effect of mutations to competition and policing, which may prohibit a population from achieving the ultimate equilibria.
Coexistence equilibria largely achieve the neutrality-defining mission, to eliminate all of the forces competing for a place in explanations of pattern.
The reason for asking this question is in the hope of being able to achieve Nash equilibria, as a plausible concept, via a reasonable learning algorithm in particular when there are a large number of players and strategies.
This result shows the difficulty of using methodologies such as the one proposed in Section 3 to study the set of NE or the difficulty of achieving equilibria using decentralized learning algorithms as proposed in [7, 8].
Methods for achieving equilibria in wireless networks are described in [7, 8, 13, 14, 30].
In the following, we give the possibility of preplay communication to achieve a stable Nash equilibria.
Nonetheless, we leave the design of decentralized techniques for achieving NE out of the scope of this article and we focus on the analysis of the equilibria.
The equilibria of this system are: (18).
Now we discuss the equilibria of the system (1) which has three possible biological meaningful equilibria.
We present algorithms for finding the equilibria.
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