ASHLOCK, D., M. D. SMUCKER, E. A. STANLEY, AND L. TESFATSION (1995): "Preferential Partner selection in an Evolutionary Study of Prisoners's Dilemma," Economic Report Series #35, Iowa State University.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....in the next time step. In the same spirit, one could think that cooperators would also have a preference to break links with other D agents. We prefer to keep this asymmetry in roles so that D agents may be described as being competitive in nature, while C agents remain conservative 2 . 2 In [1] agents may refuse to play with other agents irrespective of the strategy played. The probability p is a measure of the adaptability of the network. Dynamically, this parameter acts effectively as a time scale for the evolution of the network. For p = 0 the network does not evolve and remains ....

D. Ashlock, M.D. Smucker, and L. Tesfatsion. Preferential partner selection in an evolutionary study of Prisoner's Dilemma. BioSystems, 37(1-2):99-125, 1996.

....DC DD 0:5 0:1 = 0:6 p(1 Gamma p) DD CD 0:1 0:0 = 0:1 p(1 Gamma p) DD DD 0:1 0:1 = 0:2 (1 Gamma p) 2 From the tables above, it is easy to derive that the expected 2 step return is 0:1p 0:5 for cooperate and 0:3p 0:2 for defect. By plotting these linear equations over the interval [0,1], it is clear that in terms of the average 2 step return, cooperation dominates defection for all action probabilities. For example, assuming that the learner s current probability of cooperating is 0.5, the average 2 step returns are C: 0.55 and D: 0.35, so cooperation will seem to be the better ....

Ashlock, D., Smucker, M. D., Stanley, E. A. and Tesfatsion, L. 1995. Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma. This Issue.

....on each iteration. The principle of preferential partner selection removes this constraint by allowing individuals to have some control over who they interact with, and this extension can lead to the emergence of interesting new dimensions of emergent behavioural structure. Stanley et al. 4] [3] have published extensively on the formation of social networks in an IPD context where agents can choose who they would prefer to interact with, and refuse overtures from partners they consider unsuitable. Choice and refusal is accomplished with reference to continuously updated expected payoffs ....

Ashlock D., Smucker M.D., Stanley E.A., and Tesfatsion L. Preferential partner selection in an evolutionary study of prisoner's dilemma. Economics report 35, Iowa State University, 1994.

....exercise considerable discretion about who we interact with, rather than being forced to interact with everyone. This principle of partner selection allows new dimensions of emergent behavioural structure to develop, and has been introduced into a number of IPD models. Stanley et al. 19] [2], 18] have published a series of papers looking at the formation of social networks in an IPD context with choice and refusal permitted. Agents choose and refuse with reference to continuously updated expected payoffs that each agent maintains for every other agent in the population (they call ....

D. Ashlock, M.D Smucker, E.A. Stanley, and L. Tesfatsion. Preferential partner selection in an evolutionary study of prisoner's dilemma. Economics report 35, Iowa State University, 1994.

....An evolutionary match and play game is an evolutionary game in which the concept of rational play is extended to include the choice and refusal of partners as well as the choice of strategy to play with any given partner. Such games have previously been studied by Stanley et al. #1994#, Ashlock et al. #1996#, Hauk #1996#, and Tesfatsion #1997a#. Other game theory studies that have allowed players to avoid unwanted interactions, or more generally to a#ect the probabilityofinteraction with other players through their own actions, include Fogel #1995#, Hirshleifer and Rasmusen #1989#, Kitcher #1993#, ....

....of trade networks, and between trade network formation and the types of trade behavior and social welfare outcomes that these trade networks support. These descriptive statistics complement and extend the descriptive statistics developed by Stanley et al. #1994#, Smucker et al. #1994#, and Ashlocket al... #1996# to characterize play behavior and signi#cant play graphs. The main conclusion drawn from this study is that the optimality criteria conventionally used to evaluate the performance of matching mechanisms in static market contexts turn out to be highly incomplete indicators of performance from an ....

Ashlock, D., Smucker, M. D., Stanley, E. A., Tesfatsion, L. #1996#. #Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma," BioSystems 37, 99#125.

....number of players individually refuse the defectors game offers. Nevertheless, choice and refusal also permit opportunistic players to home in quickly on exploitable players and form parasitic relationships. The computer experiments reported in [20] and in the subsequent studies by Ashlock et al. [1], Smucker et al. 19] and Hauk [8] indicate that the emergence of mutual cooperation in the standard evolutionary IPD is accelerated by the introduction of choice and refusal of partners. The underlying player interaction patterns induced by choice and refusal can be complex and highly path ....

....acceptance quotas. When the DCR matching mechanism was then restored, the average fitness score achieved by the tradebots typically evolved to the mutual cooperation level 1:4; see Fig. 2. These TNG experiments reinforce the previous IPD CR findings of Stanley et al. 20] and Ashlock et al. [1] that a preference based matching mechanism tends to accelerate the emergence of mutual cooperation in the IPD when each agent is permitted both to make and to refuse game offers, is unconstrained with regard to the number of received offers he can accept, and is permitted to have at most one ....

Ashlock, D., Smucker, M. D., Stanley, E. A., and Tesfatsion, L., Preferential partner selection in an evolutionary study of prisoner's dilemma, BioSystems 37 (1996), 99--125.

....An evolutionary match and play game is an evolutionary game in which the concept of rational play is extended to include the choice and refusal of partners as well as the choice of strategy to play with any given partner. Such games have previously been studied by Stanley et al. 1994) Ashlock et al. 1996), Hauk (1996) and Tesfatsion (1997a) Other game theory studies that have allowed players to avoid unwanted interactions, or more generally to affect the probability of interaction with other players through their own actions, include Fogel (1995) Hirshleifer and Rasmusen (1989) Kitcher (1993) ....

....of trade networks, and between trade network formation and the types of trade behavior and social welfare outcomes that these trade networks support. These descriptive statistics complement and extend the descriptive statistics developed by Stanley et al. 1994) Smucker et al. 1994) and Ashlock et al. 1996) to characterize play behavior and significant play graphs. The main conclusion drawn from this study is that the optimality criteria conventionally used to evaluate the performance of matching mechanisms in static market contexts turn out to be highly incomplete indicators of performance from an ....

Ashlock, D., Smucker, M. D., Stanley, E. A., Tesfatsion, L. (1996). "Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma," BioSystems 37, 99--125.

No context found.

Ashlock, D., M. D. Smucker, E. A. Stanley, and L. Tesfatsion (1996), "Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma," BioSystems 37, 99--125.

....of a decentralized market economy, the labor market framework demonstrates how an ACE approach facilitates the modelling of markets from an agent based perspective and permits the rigorous experimental study of non steady state dynamics. The framework builds on a series of earlier studies [7, 56, 57, 59, 60, 61]. 5 The ACE labor market framework is implemented by means of the C trade network game (TNG) framework (version 105b) developed by McFadzean and Tesfatsion [41] which in turn is supported by SimBioSys, a general C class library for evolutionary simulations developed by McFadzean [40] The ....

Ashlock, D., Smucker, M. D., Stanley, E. A., and Tesfatsion, L., "Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma," BioSystems 37 (1996), 99--125.

No context found.

Ashlock, D., M. D. Smucker, E. A. Stanley, and L. Tesfatsion (1996), "Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma," BioSystems Nos. 1-2, Vol. 37, 99--125.

....network of agent interactions. The present paper focuses on the particular ACE model developed by Tesfatsion [15] to study the endogenous formation and evolution of trade networks. This model, referred to as the trade network game (TNG) extends to an economic setting an earlier model ([1], 13] combining evolutionary game play with endogenous partner selection. In the TNG, successive generations of resource constrained traders choose and refuse trade partners on the basis of continuously updated expected payoffs, engage in risky trades modelled as twoperson games, and evolve ....

Ashlock, D., Smucker, M. D., Stanley, E. A., and Tesfatsion, L., Preferential partner selection in an evolutionary study of prisoner's dilemma, BioSystems 37 (1996), 99--125.

....L. Tesfatsion. The present paper discusses the C implementation of a particular ACE model developed by Tesfatsion [7] to study the endogenous formation and evolution of trade networks. This model, referred to as the trade network game (TNG) extends to an economic setting an earlier model ([1]) 6] combining evolutionary game play with endogenous partner selection. In the TNG, successive generations of resource constrained traders choose and refuse trade partners on the basis of continuously updated expected payoffs, engage in risky trades modelled as two person games, and evolve ....

D. Ashlock, M. D. Smucker, E. A. Stanley, and L. Tesfatsion. Preferential partner selection in an evolutionary study of prisoner's dilemma. BioSystems. 37:99-125, 1996.

No context found.

ASHLOCK, D., M. D. SMUCKER, E. A. STANLEY, AND L. TESFATSION (1995): "Preferential Partner selection in an Evolutionary Study of Prisoners's Dilemma," Economic Report Series #35, Iowa State University.

No context found.

Dan Ashlock, Mark D. Smucker, E. Ann Stanley, and Leigh Tesfatsion. Preferential partner selection in an evolutionary study of Prisoner's Dilemma. BioSystems, in this issue.

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