A Behavioral Foundation for Models of Evolutionary Drift

Binmore and Samuelson (1999) have shown that perturbations (drift) are crucial to study the stability properties of Nash equilibria. We contribute to this literature by providing a behavioural foundation for models of evolutionary drift. In particular, this article introduces a microeconomic model of drift based on the similarity theory developed by Tversky (1977), Kahneman and Tversky (1979) and Rubinstein (1988),(1998). An innovation with respect to those works is that we deal with similarity relations that are derived from the perception that each agent has about how well he is playing the game. In addition, the similarity relations are adapted to a dynamic setting. We obtain different models of drift depending on how we model the agent´s assessment of his behaviour in the game. The examples of the ultimatum game and the chain-store game are used to show the conditions for each model to stabilize elements in the component of Nash equilibria that are not subgame- perfect. It is also shown how some models approximate the laboratory data about those games while others match the data.

Replicator Dynamics and Evolutionary Stable Strategies in Heterogeneous Games

We generalise and extend the work of Iñarra and Laruelle (2011) by studying two person symmetric evolutionary games with two strategies, a heterogenous population with two possible types of individuals and incomplete information. Comparing such games with their classic homogeneous version vith complete information found in the literature, we show that for the class of anti-coordination games the only evolutionarily stable strategy vanishes. Instead, we find infinite neutrally stable strategies. We also model the evolutionary process using two different replicator dynamics setups, each with a different inheritance rule, and we show that both lead to the same results with respect to stability.

The First Occurrence in the Fossil Record of an Aquatic Avian Twig-Nest with Phoenicopteriformes Eggs: Evolutionary Implication

14 p.

An Integrated Evolutionary Algorithm for Expensive Global Optimization

We propose an integrated algorithm named low dimensional simplex evolution extension (LDSEE) for expensive global optimization in which only a very limited number of function evaluations is allowed. The new algorithm accelerates an existing global optimization, low dimensional simplex evolution (LDSE), by using radial basis function (RBF) interpolation and tabu search. Different from other expensive global optimization methods, LDSEE integrates the RBF interpolation and tabu search with the LDSE algorithm rather than just calling existing global optimization algorithms as subroutines. As a result, it can keep a good balance between the model approximation and the global search. Meanwhile it is self-contained. It does not rely on other GO algorithms and is very easy to use. Numerical results show that it is a competitive alternative for expensive global optimization.

Robust Control of Evolutionary Dynamics

The application of principles from evolutionary biology has long been used to gain new insights into the progression and clinical control of both infectious diseases and neoplasms. This iterative evolutionary process consists of expansion, diversification and selection within an adaptive landscape - species are subject to random genetic or epigenetic alterations that result in variations; genetic information is inherited through asexual reproduction and strong selective pressures such as therapeutic intervention can lead to the adaptation and expansion of resistant variants. These principles lie at the center of modern evolutionary synthesis and constitute the primary reasons for the development of resistance and therapeutic failure, but also provide a framework that allows for more effective control.

A model system for studying the evolution of resistance and control of therapeutic failure is the treatment of chronic HIV-1 infection by broadly neutralizing antibody (bNAb) therapy. A relatively recent discovery is that a minority of HIV-infected individuals can produce broadly neutralizing antibodies, that is, antibodies that inhibit infection by many strains of HIV. Passive transfer of human antibodies for the prevention and treatment of HIV-1 infection is increasingly being considered as an alternative to a conventional vaccine. However, recent evolution studies have uncovered that antibody treatment can exert selective pressure on virus that results in the rapid evolution of resistance. In certain cases, complete resistance to an antibody is conferred with a single amino acid substitution on the viral envelope of HIV.

The challenges in uncovering resistance mechanisms and designing effective combination strategies to control evolutionary processes and prevent therapeutic failure apply more broadly. We are motivated by two questions: Can we predict the evolution to resistance by characterizing genetic alterations that contribute to modified phenotypic fitness? Given an evolutionary landscape and a set of candidate therapies, can we computationally synthesize treatment strategies that control evolution to resistance?

To address the first question, we propose a mathematical framework to reason about evolutionary dynamics of HIV from computationally derived Gibbs energy fitness landscapes -- expanding the theoretical concept of an evolutionary landscape originally conceived by Sewall Wright to a computable, quantifiable, multidimensional, structurally defined fitness surface upon which to study complex HIV evolutionary outcomes.

To design combination treatment strategies that control evolution to resistance, we propose a methodology that solves for optimal combinations and concentrations of candidate therapies, and allows for the ability to quantifiably explore tradeoffs in treatment design, such as limiting the number of candidate therapies in the combination, dosage constraints and robustness to error. Our algorithm is based on the application of recent results in optimal control to an HIV evolutionary dynamics model and is constructed from experimentally derived antibody resistant phenotypes and their single antibody pharmacodynamics. This method represents a first step towards integrating principled engineering techniques with an experimentally based mathematical model in the rational design of combination treatment strategies and offers predictive understanding of the effects of combination therapies of evolutionary dynamics and resistance of HIV. Preliminary in vitro studies suggest that the combination antibody therapies predicted by our algorithm can neutralize heterogeneous viral populations despite containing resistant mutations.

Habilidades sociais de pais e mães de crianças do Rio de Janeiro: estudo preliminar sobre sua relação com as práticas e estilos parentais

O estilo parental tem influência no desenvolvimento humano e pode ser definido como um padrão de comportamentos identificáveis nos pais quando se relacionam com seus filhos. A literatura tem utilizado alguns parâmetros para compreender os estilos parentais. Um deles se caracteriza pelo binômio: limites-afeto ou responsividade e exigência, delimitando três estilos parentais: Autoritário, Permissivo e Autoritativo. O estilo autoritário caracteriza-se por pais que dão muitos limites e pouco afeto. Estes pais procuram manter a ordem e o controle da família, devendo a obediência ser alcançada ainda que sob padrões punitivos. O estilo permissivo caracteriza-se por pais que dão pouco limite e muito afeto. Nesse caso, há uma crença naturalista segundo a qual a criança deve expressar livremente suas necessidades e aprender por si só. Estes pais não se vêem como responsáveis por ensinar ou modificar comportamentos infantis. O estilo autoritativo caracteriza-se por pais que dão muito limite e muito afeto. O cuidador apresenta condutas intermediárias entre as permissivas e autoritárias, estimulando verbalizações emocionais, permitindo que os filhos participem das decisões, estimulando argumentações, autonomia e disciplina. A empatia é considerada uma habilidade essencial para a manutenção dos laços sociais, que propicia a percepção da necessidade do outro e ao mesmo tempo favorece a sensação de ser compreendido. A assertividade é a habilidade de expressar e defender sua opinião com firmeza e segurança, sem, contudo desrespeitar o outro. Esta pesquisa tem como hipótese a idéia de que pais autoritativos seriam mais empáticos e assertivos do que pais autoritários. O objetivo deste estudo foi correlacionar os Estilos Parentais s Habilidades Sociais: Assertividade e Empatia. Participaram da pesquisa 64 pais, 21 homens e 43 mulheres. Os instrumentos utilizados foram: o Inventário de Habilidades Sociais (IHS-Del Prette), ao Inventario de Empatia (IE FALCONE) e ao Parental Autority Questionary (PAQ). A Análise dos dados foi feita através do SPSS. Foram efetuadas correlações r de Person entre os fatores do PAQ e os fatores do IHS e do IE. Os resultados apontaram para uma correlação positiva (r = 0,30 ; p < 0,05) entre o fator Enfrentamento e Auto-afirmação do IHS e o estilo Autoritativo. Uma relação negativa (r = -0,24 ; p < 0,05) foi observada entre este mesmo fator e o estilo Autoritário. Em relação a empatia, os fatores Tomada de Perspectiva (r = 0,33 ; p < 0,01), Sensibilidade Afetiva (r = 0,25 ; p < 0,05) e Autruismo (r = 0,25 ; p < 0,05) correlacionaram-se positivamente ao estilos Autoritativo, Em relação ao fator Autoritário, foi verificada uma correlação negativa ( r = -0,24 ; p < 0,05) com o fator Altruísmo do IE. A partir deste resultado, foram realizadas três análises de regressão linear múltipla (stepwise) considerando cada um dos fatores do PAQ como variáveis dependentes dos fatores do IHS e do IE. Os Fatores Enfrentamento e Auto-afirmação do IHS e o fator Autruísmo do IE junto explicam 15% da variância do Fator autoritativo. Os resultados apresentados são discutidos a luz da psicologia do desenvolvimento, psicologia social e neuropsicologia.

Molecular ecology of european mustelids: Unraveling evolutionary and ecological patterns in Martes and Lutra genera

208 p.