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 Turtles: [[http://leg.ufpr.br/~pedro/figures/turtles1.jpg|males]] and [[http://leg.ufpr.br/~pedro/figures/turtles2.jpg|females]] Turtles: [[http://leg.ufpr.br/~pedro/figures/turtles1.jpg|males]] and [[http://leg.ufpr.br/~pedro/figures/turtles2.jpg|females]]
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-=====The Complexity of Cooperation===== 
- 
-====Evolving New Strategies==== 
-Axelrod tournament.  
-Genetic algorithm (Holland 92). Gens implementing a "decision tree" that indicates the  
-strategy given the last three payoffs. The strategies always evolve to something near 
-TFT. Sexual reproduction helps the search process. 
- 
-====Coping with Noise==== 
-Axelrod tournament with 1% of noise (invert one's action). 
-//Ecological simulation//: the fraction in the 
-next generation will be proportional to that's rule score in the previous 
-generation. 
-//Generosity//: there is a chance of not escalating if the opponent escalates in the 
-previous round. 
-//Contriction//: cooperate after the others defects in response to one' 
-defection (that can arise because of the noise), contrite. 
- CTFT is better than GTFT is better than GPavlov is better than Pavlov. 
- 
-====An Evolutionary Approach to Norms==== 
-n-player game. //A norm exists in a given social setting to the extent that individuals  
-usually act in a certain way and are often punished when seen not to be acting in this way.// 
-When somebody escalates, the other players may perceive and then punish. It leads to 
-cooperation some times, but not always. But, if the observer that does not punish 
-can be punished by another player (a //metanorm//), the model always converge to a coperative 
-and almost always punishing behaviour. He also studies norms between different groups 
-(white and black, for instance). 
- 
- 
-====Choosing sides (and) Setting Standards==== 
-Theory of landscapes. Two groups where each agent belongs to one of them. Each turn, one 
-agent may exchange its group in order to enhance its satisfability. Each pair of agents has 
-a symmetric satisfability value. 
-The main purpose of ABM is not prediction but a deeper understanding of how fundamental 
-social process operate. 
-There is a Nash Equilibrium because if someone individually exchange its location, 
-it will be worse to him. 
- 
-====Building new Political Actors==== 
-//It takes as given the existence of lower-level actors, and generates higher-level 
-actors from the interactions among them. [...] The heart of the model is a tribute  
-system in which an actor can extract resources to extract still more resources.// 
- 
-One agent may ask another for demand or fight. If it would cost less than paying  
-then fight is the best option. 
-A combat between two nations implies in each one loosing 25% of the other's wealth. 
-Agents can join or leave groups according to their decisions (subservience, protection, 
-friendship, hostility).  
-8 agents in a one-dimensional circular grid, each on having two neighbours. 
-The model has different results in each run, and the author analyses 3 of them. 
- 
-====Disseminating Culture==== 
- 
-====Replication of ABM==== 
- 
-====Resources for ABM==== 
- 
  
 =====The Geometry of Ecological Interactions: Simplifying Spatial Complexity===== =====The Geometry of Ecological Interactions: Simplifying Spatial Complexity=====

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