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 ==== Assuntos ==== ==== Assuntos ====
 spatial equilibrium models spatial equilibrium models
 +ricardian equivalence ("tax now" or "tax later")
  
 ==== Papers==== ==== Papers====
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-Marietto, M., David, N., Sichman, J. and Coelho, H. 2003. Requirement analysis of agent-based simulation platforms: State of the art and new prospects. Lecture Notes in Artificial Intelligence:125-141. 
  
 Parker, D., Berger, T. and Manson, S., editors. 2002. Agent-based models of land-use and land-cover change. LUCC Report Series, 6, Indiana University. Parker, D., Berger, T. and Manson, S., editors. 2002. Agent-based models of land-use and land-cover change. LUCC Report Series, 6, Indiana University.
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 Mertens and Lambin, 2000. land cover-change trajectories in southern cameroon. annals of the association of american geographers, 93, 467-494. Mertens and Lambin, 2000. land cover-change trajectories in southern cameroon. annals of the association of american geographers, 93, 467-494.
 (um modelo economico) (um modelo economico)
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 if it is not series-parallel. More generally, Pareto inefficient equilibria occur in a network if and only if one if it is not series-parallel. More generally, Pareto inefficient equilibria occur in a network if and only if one
 of three simple networks is embedded in it.// of three simple networks is embedded in it.//
- 
-===A random matching theory=== 
-[[http://leg.ufpr.br/~pedro/papers/geb/aliprantis_random_matching_06.pdf|C.D. Aliprantis and G. Camera and D. Puzzellob, 2006]] 
- 
-//We develop theoretical underpinnings of pairwise random matching processes. We formalize the mechanics 
-of matching, and study the links between properties of the different processes and trade frictions. 
-A particular emphasis is placed on providing a mapping between matching technologies and informational 
-constraints.// 
  
 ===Coordination and cooperation in local, random and small world networks: Experimental evidence=== ===Coordination and cooperation in local, random and small world networks: Experimental evidence===
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 +===Noncooperative Bargaining and Spatial Competition===
 +H. Bester, 1989.
 +Econometrica
  
 +//The paper presents a bargaining approach to spatial competition. Sellers compete by
 +choosing locations in a market region. Consumers face a cost to moving from one
 +place to another. The price od the good is determined as the perfect equilibrium
 +of a bargaining game between seller and buyer. In this game, the consumer has the
 +outside option to move to another seller so that prices at all stores are
 +independent. Existence od a location-price equilibrium is established. The
 +outcome approaches the perfectly competitive one if the consumer's costs of 
 +traveling become negligible or if the number of sellers tends to infinity.//
  
 +
 +===The Evolution of Cooperation in Heterogeneous Populations===
 +S. Bowles and H. Gintis, 2003
 +
 +//How do human groups maintain a high level of cooperation despite a low
 +level of genetic relatedness among group members? We suggest that many
 +humans have a predisposition to punish those who violate group-beneficial
 +norms, even when this reduces their fitness relative to other group members.
 +Such altruistic punishment is widely observed to sustain high levels of cooperation
 +in behavioral experiments and in natural settings. It is known that if
 +group extinctions are sufficiently common, altruistic punishment may evolve
 +through the contribution of norm adherence to group survival. Additionally,
 +those engaging in punishment of norm violators may reap fitness benefits if
 +their punishment is treated as a costly signal of some underlying but unobservable
 +quality as a mate, coalition partner, or opponent. Here we explore a
 +different mechanism in which neither signaling nor group extinctions plays a
 +role. Rather, punishment takes the form of ostracism or shunning, and those
 +punished in this manner suffer fitness costs.
 +We offer a model of this behavior, which we call strong reciprocity: where
 +members of a group benefit from mutual adherence to a social norm, strong
 +reciprocators obey the norm and punish its violators, even though they receive
 +lower payoffs than other group members, such as selfish agents who violate
 +the norm and do not punish, and pure cooperators who adhere to the norm
 +but free-ride by never punishing. Our agent-based simulations show that,
 +under assumptions approximating some likely human environments over the
 +100,000 years prior to the domestication of animals and plants, the proliferation
 +of strong reciprocators when initially rare is highly likely, and that
 +substantial frequencies of all three behavioral types can be sustained in a
 +population.//
 +
 +
 +===Generous and Greedy Strategies===
 +[[|B. Carlsson and S. Johansson, 1998]]
 +
 +//We introduce generous, ecent-matched, and greedy strategies as concepts for
 +analyzing games. A two person prisioner's dilemma game is described by the
 +four outcomes (C,D), (C,C), (D,C) and (D,D). In a generous strategy the
 +proportion of (C,D) is larger than (D,C), i.e. the probability of facing
 +defect is larger than the probability of defecting, An event-matched strategy
 +has the (C,D) proportion approximately equal to that of (D,C). A greedy
 +strategy is an inverted generous atrategy. The basis of the partition is that
 +it is a zero-sum game given that the sum of the proportions of strategies (C,D)
 +must equal that of (D,C). In a population simulation, we compare the PD game
 +with the chicken game (CG), given complete as well as partial knowledge of the
 +rules for moves in the other strategies. In a traffic intersection example, we
 +expected a co-operating generous strategy to be successful when the cost for
 +mutual collision was high in addition to the presence of uncertainty. The
 +simulation indeed showed that a generous strategy was successful in the CG part,
 +in which agents faced uncertainty about the outcome. If the resulting zero-sum
 +game is changed from a PD game to a CG, of if the noise level is increased, the
 +sucessful strategies will favor a generous strategy rather an even-matched or
 +greedy strategy.//
 +
 +===Spatial and Density Effects in Evolutionary Game Theory===
 +[[|R. Cressman and G. T. Vickers, 1996]]
 +
 +//Two models are considered for the study of game dynamics in a spatial domain.
 +Both models are continuous in space and time and give rise to reaction-diffusion 
 +equations. The spatial domain is homogeneous but the mobility of the individuals 
 +is allowed to depend upon the strategy. The models are analysed for spatial 
 +patterns (via a Turing instability) and also for the direction of the travelling
 +wave that replaces one strategy by another. It is shown that the qualitative 
 +behaviour of the two models is quite different. When considering the existence 
 +of spatial patterns and deciding whether increased mobility is helpful or not, 
 +it is shown that the answers depend crucially upon the model equations. Since
 +both models (in the absence of spatial variation) are quite standard, it is clear
 +that considerable care has to be exercised in the formulation of spatial models 
 +and in their interpretation.//
 +
 +
 +===Modern Game Theory: Deduction vs. Induction===
 +[[|A. Greenwald, 1997]]
 +
 +The aim of this paper is twofold: firstly, to present a survey of the theory
 +of games, and secondly, to contrast deductive and inductive reasoning in game
 +theory. This report begins with an overview of the classical theory of 
 +strategic form games of complete information. This theory is based on the
 +traditional economic assumption of rationality, common knowledge of which
 +yields Nash equilibrium as a deductive solution to games in this class. In the
 +second half of this paper, modern game-theoretic ideas are introduced. In
 +particular, learning and repeated games are analyzed using an inductive model, 
 +in the absence of common knowledge. In general, inductive reasoning does not
 +gives rise to the Nash equilibrium when learning is deterministic, unless initial
 +beliefs are somehow fortuitously chosen. However, computer simulations show that
 +in the presence of a small random component, repeated play does indeed converge
 +to Nash equilibrium. This research is of interest to computer scientists
 +because modern game theory is a natural framework in which to formally study
 +multi-agent systems and distributed computing.
 +
 +
 +===Self-organized Criticality in Spatial Evolutionary Game Theory===
 +[[|T. Killingback and M. Doebeli, 1997]]
 +
 +//Self-organized criticality is an important framework for understanding the 
 +emergence of scale-free natural phenomena. Cellular automata provide simple 
 +interesting models in which to study self-organized criticality. We consider the 
 +dynamics of a new class of cellular automata which are constructed as natural 
 +spatial extensions of evolutionary game theory. This construction yields a 
 +discrete one-parameter family of cellular automata. We show that there is a range
 +of parameter values for which this system exhibits complex dynamics with long 
 +range correlations between states in both time and space. In this region the 
 +dynamics evolve to a self-organized critical state in which structures exist on
 +all time and length scales, and the relevant statistical measures have power 
 +law behaviour.//
 +
 +===Concentration of Competing Retail Stores===
 +[[|H. Konishi]]
 +
 +//The geographical concentration of stores that sell similar commodities is 
 +analyzed using a two-dimensional spatial competition model. A higher 
 +concentration of stores attracts more consumers with taste uncertainty and low 
 +price expectations (a market-size effect), while it leads to fiercer price 
 +competition (a price-cutting effect). Our model is general enough to allow
 +for the coexistence of multiple (possibly) asymmetric clusters of stores. We 
 +provide sufficient conditions for the nonemptiness of equilibrium store location 
 +choices in pure strategies. Through numerical examples, we illustrate the 
 +trade-off between the market-size and price-cutting effects, and provide 
 +agglomeration patterns of stores in special cases.//
 +
 +
 +===Discrete Time Spatial Models Arising in Genetics, Evolutionary Game Theory, and Branching Processes===
 +[[|J. Radcliffe and L. Rass, 1996]]
 +
 +//A saddle point method is used to obtain the speed of first spread of new
 +genotypes in genetic models and of new strategies in game theoretic models. It is
 +also used to obtain the speed of the forward tail of the distribution of farthest
 +spread for branching process models. The technique is applicable to a wide range 
 +of models. They include multiple allele and sex-linked models in genetics, 
 +multistrategy and bimatrix evolutionary games, and multitype and demographic 
 +branching processes. The speed of propagation has been obtained for genetics 
 +models (in simple cases only) by Weinberger [1, 2] and Lui [3-7], using exact 
 +analytical methods. The exact results were obtained only for two-allele, 
 +single-locus genetic models. The saddle point method agrees in these very 
 +simple cases with the results obtained by using the exact analytic methods. 
 +Of course, it can also be used in much more general situations far less tractable
 +to exact analysis. The connection between genetic and game theoretic models is 
 +also briefly considered, as is the extent to which the exact analytic methods 
 +yield results for simple models in game theory.//
 +
 +===Nash equilibrium in a spatial model of coalition bargaining===
 +[[|N. Schofield and R. Parks]]
 +
 +//In the model presented here, n parties choose policy positions in a space Z 
 +of dimension at least two. Each party is represented by a "principal" whose true 
 +policy preferences on Z are unknown to other principals. In the first version of 
 +the model the party declarations determine the lottery outcome of coalition 
 +negotiation. The coalition risk functions are common knowledge to the parties. 
 +We assume these coalition probabilities are inversely proportional to the 
 +variance of the declarations of the parties in each coalition. It is shown that 
 +with this outcome function and with three parties there exists a stable, pure 
 +strategy Nash equilibrium, z* for certain classes of policy preferences. This 
 +Nash equilibrium represents the choice by each party principal of the position 
 +of the party leader and thus the policy platform to declare to the electorate.
 +The equilibrium can be explicitly calculated in terms of the preferences of the 
 +parties and the scheme of private benefits from coalition membership. In 
 +particular, convergence in equilibrium party positions is shown to occur if the 
 +principals' preferred policy points are close to colinear. Conversely, divergence
 +in equilibrium party positions occurs if the bliss points are close to 
 +symmetric. If private benefits (the non-policy perquisites from coalition 
 +membership) are sufficiently large (that is, of the order of policy benefits),
 +then the variance in equilibrium party positions is less than the variance in 
 +ideal points. The general model attempts to incorporate party beliefs concerning
 +electoral responses to party declarations. Because of the continuity properties
 +imposed on both the coalition and electoral risk functions, there will exist 
 +mixed strategy Nash equilibria. We suggest that the existence of stable, pure 
 +strategy Nash equilibria in general political games of this type accounts for the
 +non-convergence of party platforms in multiparty electoral systems based on
 +proportional representation.//
 +
 +
 +===Stability of Spatial Equilibrium===
 +[[|T. Tabuchi and D. Zeng, 2001]]
 +
 +//We consider interregional migration, where regions may be interpreted as clubs,
 +social subgroups, or strategies. Using the positive definite adaptive (PDA) 
 +dynamics, which include the replicator dynamics, we examine the evolutionary
 +stable state (ESS) and the asymptotic stability of the spatial distribution of
 +economic activities in a multiregional system. We derive an exact condition
 +for the equivalence between ESS and asymptotically stable equilibrium in each
 +PDS dynamic. We show that market outcome yields the efficiency allocation of
 +population with an additional condition. We also show that interior equilibria
 +are stable in the presence of strong congestion diseconomies but unstable in the
 +presence of strong agglomeration economies with further condition.//
 +
 +
 +===Spatial Games with Adaptive Tit-for-Tats===
 +[[http://leg.ufpr.br/~pedro/papers/tzafestas00.pdf|E. S. Tzafestas, 2000]]
 +
 +
 +//This paper presents an adaptive tit-for-tat strategy and a study of its
 +behavior in spatial IPD games. The adaptive tit-for-tat strategy is shown
 +elsewhere to demonstrate high performance in IPD tournaments or individual
 +IPD games with other types of strategies, and obtains higher scores than the
 +pure tit-for-tat strategy. In spatial IPD games, the strategy exhibits stability and
 +resistance to perturbations, and those properties are more pronounced in
 +variations of the spatial game model that induce some degree of “noise” :
 +probabilistic winning, spatial irregularity and continuous time. The adaptive tit-
 +for-tat strategy is also compared to pure tit-for-tat and found to be more stable
 +and predominant in perturbed environments.//
  
 ==== Journals ==== ==== Journals ====
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 Caípitulo 2 do Russel sobre agentes. Caípitulo 2 do Russel sobre agentes.
  
-==== Authors ====+==== Pages ====
  
-===Jaime Simão SICHMAN===+Program for Evolutionary Dynamics (Harvard University)
  
-Vale uma olhadela no site deste cara. +==== Authors ====
-E professor da USP Poli com interfaces com Portugal e Franca e no Brasil na area de +
-Multi-agentes.+
  
-http://www.pcs.usp.br/~jaime/#projetos 
  
 ===Samuel Bowles=== ===Samuel Bowles===
-with  **Suresh Naidu**: Institutional Equilibrium Selection by Intentional Idiosyncratic Play, 2004+with  **Suresh Naidu**: [[http://leg.ufpr.br/~pedro/papers/bowles_institutional_equilibrium.pdf|Institutional Equilibrium Selection by Intentional Idiosyncratic Play]], 2004 
 + 
 +with **Hebert Gintis**: [[http://leg.ufpr.br/~pedro/papers/bowles_inheritance_of_inequality.pdf|The inheritance of inequality]], 2002
  
-with **Hebert Gintis**: The inheritance of inequality, 2002+=== Portugali e Benenson=== 
 +Segregação

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