Main weakness of economics of crime is that it focuses on rational offender who is isolated from society. This thesis gives overview of game theory models, which take into account possible reactions of other actors to offender`s actions. I show that some variables of crime are dependent on individual`s social environment and I analyze them using moral costs of crime, where some gains and losses from crime are interconnected between people. Two own models are presented. First model deals with aggregated crime with significant role of moral costs of crime. Second model is a modification of Inspection game which includes moral costs of crime and is than modeled using evolutionary game theory. Result of first model is higher volatility of crime than in standard models of rational offender. Crime is maximally volatile in time in the second model. There is a critical level of moral costs of crime and after reaching this level, assumptions of inspection game are violated and society converges to state with zero crime. It is demonstrated on both models that crime is a self- propagating phenomenon, because of social interactions.

Mutualismos são interações em que os parceiros se exploram reciprocamente com benefícios líquidos para ambos os indivíduos que interagem. Sistemas mutualistas multiespecíficos podem ser descritos como redes de interação, tais como aquelas formadas por sistemas de polinização, dispersão de sementes, estações de limpeza em ambientes recifais, formigas defensoras de plantas, mimetismo mülleriano e bactérias fixadoras de nitrogênio em raízes de plantas. As interações mutualísticas estão sujeitas à trapaça por indivíduos que, por meio de algum comportamento, alcançam o benefício oferecido pelo parceiro sem oferecer nada ou oferecer muito pouco em troca. No entanto, interações mutualísticas persistem apesar da existência de trapaceiros. Neste trabalho, mostro que os parasitas de interações mutualísticas, os trapaceiros, aumentam a resiliência das redes mutualísticas às perturbações mais rapidamente em redes aninhadas, redes tipicamente encontradas em mutualismos ricos em espécies. Portanto os efeitos combinados de trapaceiros, estrutura e dinâmica das redes mutualísticas podem ter implicações para a forma como a biodiversidade é mantida. Em seguida, estudo as condições em que flores tubulares, que sofrem maiores danos ao interagirem com ladrões de néctar, conseguem coexistir com flores planares, polinizadores e pilhadores por meio de efeitos indiretos da trapaça em seu sucesso reprodutivo. O roubo do néctar pode aumentar o sucesso de uma planta se as interações com pilhadores gerarem maior quantidade de polinização cruzada, aumentando assim o sucesso reprodutivo das plantas que interagem com ambos os visitantes florais. Tal resultado sugere uma nova fonte de manutenção da cooperação e da diversidade de estratégias por meio de efeitos não lineares das interações entre diferentes estratégias. Finalmente, estudo como as interações locais promovem a prevalência de mímicos (trapaceiros) em uma certa população na ausência de seus modelos. Mostro que presas que interagem localmente podem favorecer a predominância de mímicos e predadores que os evitam após algumas gerações e que uma distribuição não aleatória de indivíduos no espaço pode reforçar ainda mais este efeito inesperado de alopatria de modelo e mímico / Mutualisms are interactions in which organisms of different species exploit each other with net benefits for both interacting individuals. Multispecific mutualistic system can be depicted as interaction networks, such as those formed by plant-pollinator interactions, dispersal systems, species interacting in cleaning stations in reef environments, protective ants in plants, müllerian mimicry, and nitrogen fixing bacteria on the roots of plants. Mutualistic interaction is subject to cheating by individuals who, by means of a diversity of behavioral strategies, achieve the benefit provided by the partner offering nothing or few in return. However, the mutualistic interactions persist despite the existence of cheaters. In this work I show that the parasites of mutualistic interactions increase the resilience of mutualistic networks to disturbances in nested networks, typically found in species-rich mutualisms. Therefore the joint effect of cheating, structure and dynamics of mutualistic networks have implications for how biodiversity is maintained. I subsequently study the conditions under which tubular flowers, which suffer stronger damages when interacting with nectar robbers, can coexist with planar flowers, pollinators, and robbers through indirect effects of cheating on their reproductive success. The theft of nectar may increase the success of a plant if its interactions with robbers generate higher degrees of cross-pollination, thus increasing the reproductive success of plants that interact with both floral visitors. This study suggests a new source of continued cooperation and diversity strategies through non-linear effects of the interactions between different strategies. Finally, I study how local interactions can promote the prevalence of mimic (the cheaters) in a given population in the absence of their models. I found that prey interacting locally may favor the predominance of mimic preys and avoid predators that, after a few generations and under a non-random distribution of individuals in space, can further strengthen this unexpected effect allopatry of the mimic and its model

Avec l'importance que prend le parc de véhicules électriques rechargeable (VER) depuis ces dix dernières années et au vu de l'important taux de croissance le caractérisant, se pose alors la question de l'infrastructure de recharge y inhérente. Une manière d'en tirer bénéfice et d'en minimiser l'impact consistera en l'agrégation en flotte et de gérer cette dernière en conséquence. L'objectif général de la thèse est de proposer et de développer des algorithmes décentralisés qui permettront de minimiser les impacts les plus critiques attendus d'une forte pénétration de VERs. La prise en compte de la réversibilité des chargeurs actuels et de leur fonctionnement sur les quatre quadrants, les algorithmes proposés, rendent également possible la fourniture de services système au réseau ; cependant il faut aussi tenir compte du caractère aléatoire de plusieurs variables telles que les heures d'arrivée te de départ des véhicules considérés, de l'état de charge initial entre autres. Cette thèse introduit d'abord une approche globale et une optimisation locale afin d'établir un benchmark solide à des fins d'évaluation des techniques développées dans ce travail. Vient ensuite ce qui est la contribution majeure représentée par deux méthodologies d'optimisation lesquelles sont basées sur la théorie des jeux évolutionniste. Toutes les deux techniques introduisent la notion d'équité dans la répartition des tâches et des ressources entre VERs et donnent plus de poids aux contraintes liées au rôle de l'usager/propriétaire du véhicule et de son implication dans la gestion de la demande. En outre, l'une de ces méthodes comprend des solutions de rechange pour intégrer la charge rapide dans le processus de planification, tandis que l'autre méthode permet au VER de fournir des services auxiliaires comme le remplissage des creux de demande, l'effacement de la pointe le pic de rasage, active, d'équilibrer la puissance active ou encore de fournir de l'énergie réactive. / With a stock of Plug-in electric vehicles (PEVs) under continuous grow during the last ten years, concerns have been raised in terms of their charging infrastructure and their integration into the electricity distribution systems. If PEVs are considered as a fleet, both their impact and benefit for the electrical power system can be substantial. The general objective of this thesis is to propose and develop decentralized algorithms allowing to mitigate the most critical impacts expected to occur with the integration of PEVs. Taking into account the reversibility of chargers, the proposed algorithms are intended to consider re-injection of energy, in order to provide ancillary services to the grid. Moreover, algorithms are supposed to consider the stochastic nature of variables like the arrival and departure of PEVs, their initial state of charge, among others. Under these premises and taking into account earlier contributions, this thesis introduces a centralized approach and a distributed optimization approach in order to have a solid benchmark for the justification of the most elaborate contributions of the last part of this work. After these first experiences, the most important contribution of this thesis is represented in two decentralized optimization methodologies that were developed in details based on concepts of evolutionary game theory. Both of them introduce the concept of fairness in the allocation of tasks and resources among PEVs, and give more weight to social constraints represented on the role of PEV owners in the load managing process. Furthermore, one of these methodologies includes alternatives to integrate fast charging rates in the scheduling process, while the other methodology allows PEVs to provide ancillary services like valley filling, peak shaving, active and reactive power balancing, and reactive power supply.

Em uma perspectiva evolutiva, a emergência e a manutenção de comportamentos altruísticos e de cooperação não é de fácil entendimento. O impulso por ajudar um indivíduo desconhecido não pode significar um prejuízo na capacidade reprodutiva, o que muitas vezes parece ser o mais óbvio. Muito se tem feito no sentido de compreender os ganhos indiretos da cooperação, ou o que se espera em retorno por este comportamento. A espera por reciprocidade é um dos modos de se tornar a cooperação atraente. Os seres humanos possuem uma capacidade singular de expandir a reciprocidade para interações organizadas em que não necessariamente se recebe a retribuição de um favor, mas sim o favor de um terceiro indivíduo. Para estes sistemas, de reciprocidade indireta, são necessários elaborados processos cognitivos que sustentam uma capacidade para linguagem, julgamentos morais e organização social. Entende-se que esta forma de cooperação é um fator essencial para a evolução do intelecto e da estrutura social atuais dos seres humanos. A teoria dos jogos evolucionária é uma ferramenta matemática muito utilizada na sistematização analítica dos problemas envolvendo cooperação e processos evolutivos no geral. A capacidade reprodutiva é traduzida em termos de funções matemáticas, sendo possível realizar dinâmicas populacionais que modelam a pressão seletiva. Neste trabalho, utilizamos métodos de teoria dos jogos evolucionária para explorar modelos de reciprocidade indireta, expandindo o tratamento de um modelo para interações opcionais envolvendo estratégias de cooperadores condicionais. Mostramos que a presença de cooperadores incondicionais ameaça a estabilidade da cooperação e que erros de execução podem ser uma solução. / At an evolutionary perspective, the emergence and maintenance of altruistic and cooperative behaviours is of no easy understanding. The impulse of helping an unrelated individual cannot mean a loss of reproductive fitness, as many times may seem the obvious. Much has been done in the way of knowing the indirect benefits of cooperation, or what to expect in retribution for this behaviour. To expect reciprocity is one way of looking at cooperation as more attractive. Human beings have a singular capacity of expanding reciprocity to organized interactions where retribution of a favour is not necessary, but one can expect the favour of a third-party. For these systems, of indirect reciprocity, elaborate cognitive processes are necessary, ones that maintain the capacity for language, moral judgements and social organization. One can understand this form of cooperation as an essential factor for the evolution of humans nowadays´ intellect and social structure. Evolutionary game theory is a mathematical tool that is largely used in the analytical systematization of problems involving cooperation and evolutionary processes in general. Reproductive fitness is understood in terms of mathematical functions, making possible the work on population dynamics that model selective pressure. In this work, we use methods in evolutionary game theory to explore models of indirect reciprocity, expanding the treatment of a model for optional interactions involving conditional cooperators strategies. We show that the presence of unconditional cooperators threatens the stability of cooperation and that execution errors might be a solution.

Η παρούσα διπλωματική εργασία πραγματεύεται την θεωρία παιγνίων και το πώς αυτή εφαρμόζεται στην οικονομική επιστήμη. Συγκεκριμένα, στόχος μας είναι να απαντήσουμε στο ερώτημα: «Πως αποφασίζονται οι τελικές στρατηγικές που θα επικρατήσουν σε ένα παίγνιο με την πάροδο του χρόνου;». Η εργασία είναι χωρισμένη σε δύο μέρη. Αρχικά αναφερόμαστε στην κλασσική θεωρία παιγνίων και αναλύουμε τα βασικά της στοιχεία και στη συνέχεια περνάμε στην ανάλυση της εξελικτικής θεωρίας παιγνίων. Στο 1ο μέρος της παρούσας εργασίας, λοιπόν, αναφέρουμε τα όσα είναι σχετικά με την κλασσικά θεωρία παιγνίων. Συγκεκριμένα, στο πρώτο κεφάλαιο γίνεται μία σύντομη ιστορική αναδρομή της θεωρίας αυτής και στο δεύτερο κεφάλαιο την ορίζουμε ως την επίσημη μελέτη που εξετάζει την ορθολογικότητα σε ένα επιχειρηματικό περιβάλλον και παρουσιάζουμε τα βασικά στοιχεία ενός παιγνίου. Αναφέρουμε τα δύο επίπεδα περιγραφής των παιγνίων, δηλαδή τα παίγνια συνεργασίας και μη-συνεργασίας, καθώς και τους δύο τρόπους αναπαράστασής τους που είναι η στρατηγική ή αλλιώς κανονική μορφή (μήτρες) και η εκτεταμένη ή αλλιώς αναλυτική μορφή (δέντρα παιγνίων). Στο τρίτο κεφάλαιο ορίζονται οι κυρίαρχες στρατηγικές και η αντίστοιχη ισορροπία κυρίαρχης στρατηγικής και στο τέταρτο κεφάλαιο ορίζεται η Ισορροπία Nash, η οποία αποτελεί τη στάνταρ έννοια της ισορροπίας στα οικονομικά. Στα δύο αυτά κεφάλαια (3 και 4) υπάρχουν παραδείγματα εφαρμογής που στοχεύουν στην καλύτερη κατανόηση, και αναλύεται και το Δίλημμα του Φυλακισμένου που αποτελεί το πιο κλασσικό παράδειγμα στη θεωρία παιγνίων. Στην περίπτωση, τώρα, όπου δεν υπάρχει Ισορροπία Nash (κάτι το οποίο συμβαίνει σε παίγνια στρατηγικής μορφής) το παίγνιο λύνεται με τη βοήθεια των μικτών στρατηγικών οι οποίες αναλύονται στο πέμπτο κεφάλαιο. Συνεχίζουμε με το έκτο κεφάλαιο, όπου παρουσιάζονται τα εκτεταμένα παίγνια πλήρους πληροφόρησης και αναλύεται η μέθοδος της προς τα πίσω επαγωγής (αναδίπλωση). Στο έβδομο κεφάλαιο παρουσιάζονται τα παίγνια ελλιπούς πληροφόρησης και στο όγδοο κεφάλαιο αναφέρονται τα παίγνια μηδενικού αθροίσματος (π.χ. σκάκι) και το πώς μπορούν να χρησιμοποιηθούν μαζί με τους τυχαιοποιημένους αλγόριθμους για την ανάλυση προβλημάτων στον απευθείας σύνδεσης υπολογισμό. Το 1ο μέρος κλείνει με ένα παράδειγμα εφαρμογής της θεωρίας παιγνίων, τις δημοπρασίες. Τι γίνεται όμως όταν ένα παίγνιο επαναλαμβάνεται και παίζεται περισσότερες από μία φορές; Το ερώτημα αυτό έρχεται να μας το απαντήσει η εξελικτική θεωρία παιγνίων στο 2ο μέρος της παρούσας διπλωματικής εργασίας. Στα δύο πρώτα κεφάλαια, του μέρους αυτού, ορίζονται τα εξελικτικά παίγνια, γίνεται αναφορά για το που μπορούν να βρουν εφαρμογή καθώς και στους λόγους που δεν είναι ακόμη γνωστές οι οικονομικές εφαρμογές τους. Το τρίτο και το πέμπτο κεφάλαιο αποτελούν τα πιο σημαντικά κεφάλαιο του 2ου μέρους. Στο τρίτο κεφάλαιο παρουσιάζεται αναλυτικά το μοντέλο των εξελικτικών παιγνίων και τα στοιχεία που το αποτελούν (αναμενόμενες ανταμοιβές, πληθυσμός, καταστάσεις). Περιγράφεται το στάδιο παιγνίου το οποίο ορίζεται από μία συνάρτηση καταλληλότητας και δίνεται έμφαση στις δύο γραμμικές προδιαγραφές που έχουν οι συναρτήσεις αυτές. Στη συνέχεια, αναλύεται πλήρως το πιο αντιπροσωπευτικό παράδειγμα της εξελικτικής θεωρίας παιγνίων, το παίγνιο Hawk-Dove, που αποτελεί ένα γενικό μοντέλο καταστάσεων με επιθετικές και αμυντικές αγορές. Το παίγνιο αυτό έχει δύο ειδών παίκτες, αυτοί που επιλέγουν να είναι επιθετικοί (Hawk) και αυτοί που επιλέγουν να είναι αμυντικοί (Dove), και ερευνάται το ποιο είδος παικτών θα επικρατήσει τελικά. Μέσα από την διαφορική εξίσωση που αναλύεται στο πέμπτο κεφάλαιο, στις δυναμικές, φαίνεται πως το αποτέλεσμα εξαρτάται από τρεις παραμέτρους: από τον αρχικό πληθυσμό, από την πιθανότητα να παιχτεί η καθεμία στρατηγική και από τον πίνακα με τις ανταμοιβές των παικτών. Έτσι απαντάται το αρχικό μας ερώτημα και προκύπτει η στρατηγική που τελικά θα επικρατήσει, που ονομάζεται εξελικτική στρατηγική (evolutionary stable strategy-ESS). Στο τέταρτο κεφάλαιο ορίζεται η Ισορροπία Nash (I.N.), η Εξελικτική Σταθερή Στρατηγική (ESS) και η Εξελικτική Ισορροπία (E.E.) και στο έκτο κεφάλαιο αναφέρουμε την τοπική κατάταξη συστημάτων με χαμηλές διαστάσεις και συγκεκριμένα τα γραμμικά παίγνια μίας-διάστασης, τα συστήματα δύο μεταβλητών και άλλα συστήματα δύο-διαστάσεων και μη-γραμμικά. Κλείνοντας το 2ο μέρος και γενικά την παρούσα εργασία, παρουσιάζουμε τρία παραδείγματα στα οποία φαίνεται η εφαρμοσιμότητα των όσων αναφέραμε. Συγκεκριμένα αναλύονται τρία γνωστά παίγνια τα οποία χρησιμοποιήθηκαν από την πολιτική και παραλληλίστηκαν με καταστάσεις που είχαν να αντιμετωπίσουν εκείνη τη στιγμή. / This thesis deals with the evolutionary game theory and how it applies to economics. First of all, it is necessary to refer the original game theory and to analyze the key elements and then move to the analysis of evolutionary game theory. In the first part of this study, therefore, we indicate what is on game theory. Specifically, in the first chapter is a brief history of game theory and the second chapter defined game theory as a formal study examining the rationality in a business environment and presents the basics elements of a game. Also, at this chapter i reffer to the description of games, namely, games of cooperation and non-cooperation, and the two ways of representing their strategy, the normal form (matrix) and the extensive form (game tree). The third chapter sets out the dominant strategy and the corresponding dominant strategy equilibrium and in the fourth chapter we define the Nash Equilimbrium, which is the standard notion of equilibrium in economics. In these two chapters (third and fourth) there are examples of the application for better understanding, and we analyze the prisoner's dilemma, which is the most classic example of game theory. If there is no Nash Equilimbrium (this could happen at narmal strategy games) the game is solved by mixed strategies, which are analyzed in the fifth chapter. Continuing, at the sixth chapter we can see the extensive games with perfect information and we analyze the method of backward induction. In the seventh chapter, we can see the extensive games with imperfect information and the eighth chapter refers to the zero-sum games and how they can be used together with randomized algorithms for the analysis of problems on-line calculation. Finally, the first part closes with an example application of game theory, the auctions. The question is “What happens when a game is played more than once?” The answer comes from the second part of this thesis in which we analyse the evolutionary game theory. In the first two chapters of this part we define evolutionary games, we refere where evolutionary games might be applicable and why economic application aren’t common already. The third and fourth chapter are the most important chapters of the second part. At the third chapter we present the model of the evolutionary game and its elements (expected payoffs, population, states). We describe the stage game which is defined by a fitness function and we emphasize at its two linear specifications. Then we make a full analysis one of the most representative example of evolutionary game theory, the Hawk-Dove game. This game has two types of players, aggressive (Hawk) and defensive (Dove), which reflects the situation where there is a competitive and an uncompetitive business, and the point is to find which of the two types will eventually prevail. Based on a differential equation, we conclude that the result depends on three parameters: the initial population, the probability with which each strategy is played and the payoff matrix. All this leads in a strategy which is known as evolutionary stable (ESS). In chapter five, we define the Nash Equilibrium, the Evolutionary Stable Strategy (ESS) and Evolutionary Equilibrium (EE) and in chapter six we analyze the local classification of low dimensions systems. To make clear the applicability of all those we mention at this thesis, we are closing with three examples. More specific we analyze three well-known games which were used by the political and paralleled with situations they had to face with.

This thesis contains four essays that analyze the behaviors that evolve when populations of boundedly rational individuals interact strategically for a long period of time. Individuals are boundedly rational in the sense that their strategy choices are determined by simple rules of adaptation -- learning rules. Convergence results for general finite games are first obtained in a homogenous setting, where all populations consist either of stochastic imitators, who almost always imitate the most successful strategy in a sample from their own population's past strategy choices, or stochastic better repliers, who almost always play a strategy that gives at least as high expected payoff as a sample distribution of all populations' past play. Similar results are then obtained in a heterogeneous setting, where both of these learning rules are represented in each population. It is found that only strategies in certain sets are played in the limit, as time goes to infinity and the mutation rate tends to zero. Sufficient conditions for the selection of a Pareto efficient such set are also provided. Finally, the analysis is extended to natural selection among learning rules. The question is whether there exists a learning rule that is evolutionarily stable, in the sense that a population employing this learning rule cannot be invaded by individuals using a different rule. Monte Carlo simulations for a large class of learning rules and four different games indicate that only a learning rule that takes full account of hypothetical payoffs to strategies that are not played is evolutionarily stable in almost all cases. / Diss. Stockholm : Handelshögsk., 2001

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Em uma perspectiva evolutiva, a emergência e a manutenção de comportamentos altruísticos e de cooperação não é de fácil entendimento. O impulso por ajudar um indivíduo desconhecido não pode significar um prejuízo na capacidade reprodutiva, o que muitas vezes parece ser o mais óbvio. Muito se tem feito no sentido de compreender os ganhos indiretos da cooperação, ou o que se espera em retorno por este comportamento. A espera por reciprocidade é um dos modos de se tornar a cooperação atraente. Os seres humanos possuem uma capacidade singular de expandir a reciprocidade para interações organizadas em que não necessariamente se recebe a retribuição de um favor, mas sim o favor de um terceiro indivíduo. Para estes sistemas, de reciprocidade indireta, são necessários elaborados processos cognitivos que sustentam uma capacidade para linguagem, julgamentos morais e organização social. Entende-se que esta forma de cooperação é um fator essencial para a evolução do intelecto e da estrutura social atuais dos seres humanos. A teoria dos jogos evolucionária é uma ferramenta matemática muito utilizada na sistematização analítica dos problemas envolvendo cooperação e processos evolutivos no geral. A capacidade reprodutiva é traduzida em termos de funções matemáticas, sendo possível realizar dinâmicas populacionais que modelam a pressão seletiva. Neste trabalho, utilizamos métodos de teoria dos jogos evolucionária para explorar modelos de reciprocidade indireta, expandindo o tratamento de um modelo para interações opcionais envolvendo estratégias de cooperadores condicionais. Mostramos que a presença de cooperadores incondicionais ameaça a estabilidade da cooperação e que erros de execução podem ser uma solução. / At an evolutionary perspective, the emergence and maintenance of altruistic and cooperative behaviours is of no easy understanding. The impulse of helping an unrelated individual cannot mean a loss of reproductive fitness, as many times may seem the obvious. Much has been done in the way of knowing the indirect benefits of cooperation, or what to expect in retribution for this behaviour. To expect reciprocity is one way of looking at cooperation as more attractive. Human beings have a singular capacity of expanding reciprocity to organized interactions where retribution of a favour is not necessary, but one can expect the favour of a third-party. For these systems, of indirect reciprocity, elaborate cognitive processes are necessary, ones that maintain the capacity for language, moral judgements and social organization. One can understand this form of cooperation as an essential factor for the evolution of humans nowadays´ intellect and social structure. Evolutionary game theory is a mathematical tool that is largely used in the analytical systematization of problems involving cooperation and evolutionary processes in general. Reproductive fitness is understood in terms of mathematical functions, making possible the work on population dynamics that model selective pressure. In this work, we use methods in evolutionary game theory to explore models of indirect reciprocity, expanding the treatment of a model for optional interactions involving conditional cooperators strategies. We show that the presence of unconditional cooperators threatens the stability of cooperation and that execution errors might be a solution.

Mutualismos são interações em que os parceiros se exploram reciprocamente com benefícios líquidos para ambos os indivíduos que interagem. Sistemas mutualistas multiespecíficos podem ser descritos como redes de interação, tais como aquelas formadas por sistemas de polinização, dispersão de sementes, estações de limpeza em ambientes recifais, formigas defensoras de plantas, mimetismo mülleriano e bactérias fixadoras de nitrogênio em raízes de plantas. As interações mutualísticas estão sujeitas à trapaça por indivíduos que, por meio de algum comportamento, alcançam o benefício oferecido pelo parceiro sem oferecer nada ou oferecer muito pouco em troca. No entanto, interações mutualísticas persistem apesar da existência de trapaceiros. Neste trabalho, mostro que os parasitas de interações mutualísticas, os trapaceiros, aumentam a resiliência das redes mutualísticas às perturbações mais rapidamente em redes aninhadas, redes tipicamente encontradas em mutualismos ricos em espécies. Portanto os efeitos combinados de trapaceiros, estrutura e dinâmica das redes mutualísticas podem ter implicações para a forma como a biodiversidade é mantida. Em seguida, estudo as condições em que flores tubulares, que sofrem maiores danos ao interagirem com ladrões de néctar, conseguem coexistir com flores planares, polinizadores e pilhadores por meio de efeitos indiretos da trapaça em seu sucesso reprodutivo. O roubo do néctar pode aumentar o sucesso de uma planta se as interações com pilhadores gerarem maior quantidade de polinização cruzada, aumentando assim o sucesso reprodutivo das plantas que interagem com ambos os visitantes florais. Tal resultado sugere uma nova fonte de manutenção da cooperação e da diversidade de estratégias por meio de efeitos não lineares das interações entre diferentes estratégias. Finalmente, estudo como as interações locais promovem a prevalência de mímicos (trapaceiros) em uma certa população na ausência de seus modelos. Mostro que presas que interagem localmente podem favorecer a predominância de mímicos e predadores que os evitam após algumas gerações e que uma distribuição não aleatória de indivíduos no espaço pode reforçar ainda mais este efeito inesperado de alopatria de modelo e mímico / Mutualisms are interactions in which organisms of different species exploit each other with net benefits for both interacting individuals. Multispecific mutualistic system can be depicted as interaction networks, such as those formed by plant-pollinator interactions, dispersal systems, species interacting in cleaning stations in reef environments, protective ants in plants, müllerian mimicry, and nitrogen fixing bacteria on the roots of plants. Mutualistic interaction is subject to cheating by individuals who, by means of a diversity of behavioral strategies, achieve the benefit provided by the partner offering nothing or few in return. However, the mutualistic interactions persist despite the existence of cheaters. In this work I show that the parasites of mutualistic interactions increase the resilience of mutualistic networks to disturbances in nested networks, typically found in species-rich mutualisms. Therefore the joint effect of cheating, structure and dynamics of mutualistic networks have implications for how biodiversity is maintained. I subsequently study the conditions under which tubular flowers, which suffer stronger damages when interacting with nectar robbers, can coexist with planar flowers, pollinators, and robbers through indirect effects of cheating on their reproductive success. The theft of nectar may increase the success of a plant if its interactions with robbers generate higher degrees of cross-pollination, thus increasing the reproductive success of plants that interact with both floral visitors. This study suggests a new source of continued cooperation and diversity strategies through non-linear effects of the interactions between different strategies. Finally, I study how local interactions can promote the prevalence of mimic (the cheaters) in a given population in the absence of their models. I found that prey interacting locally may favor the predominance of mimic preys and avoid predators that, after a few generations and under a non-random distribution of individuals in space, can further strengthen this unexpected effect allopatry of the mimic and its model

This research involves the design, development, and theoretical demonstration of models resulting in integrated misbehavior resolution protocols for ad hoc networked devices. Game theory was used to analyze strategic interaction among independent devices with conflicting interests. Packet forwarding at the routing layer of autonomous ad hoc networks was investigated. Unlike existing reputation based or payment schemes, this model is based on repeated interactions. To enforce cooperation, a community enforcement mechanism was used, whereby selfish nodes that drop packets were punished not only by the victim, but also by all nodes in the network. Then, a stochastic packet forwarding game strategy was introduced. Our solution relaxed the uniform traffic demand that was pervasive in other works. To address the concerns of imperfect private monitoring in resource aware ad hoc networks, a belief-free equilibrium scheme was developed that reduces the impact of noise in cooperation. This scheme also eliminated the need to infer the private history of other nodes. Moreover, it simplified the computation of an optimal strategy. The belief-free approach reduced the node overhead and was easily tractable. Hence it made the system operation feasible. Motivated by the versatile nature of evolutionary game theory, the assumption of a rational node is relaxed, leading to the development of a framework for mitigating routing selfishness and misbehavior in Multi hop networks. This is accomplished by setting nodes to play a fixed strategy rather than independently choosing a rational strategy. A range of simulations was carried out that showed improved cooperation between selfish nodes when compared to older results. Cooperation among ad hoc nodes can also protect a network from malicious attacks. In the absence of a central trusted entity, many security mechanisms and privacy protections require cooperation among ad hoc nodes to protect a network from malicious attacks. Therefore, using game theory and evolutionary game theory, a mathematical framework has been developed that explores trust mechanisms to achieve security in the network. This framework is one of the first steps towards the synthesis of an integrated solution that demonstrates that security solely depends on the initial trust level that nodes have for each other.