We study an interacting agent model of a game-theoretical economy. The agents
play a minority-subsequently-majority game and they learn, using
backpropagation networks, to obtain higher payoffs. We ...study the relevance of
heterogeneity to performance, and how heterogeneity emerges.
Economic ensembles can be modeled as networks of interacting agents whose
be-haviors are described in terms of game theory. The evolutionary paradigm has
been applied to two-person games to discover ...strategies in this context.
Subse-quently, many-player games, and specifically global games (where payoffs
depend collectively on all the rest of the players) as with the minimal game,
have been studied. The minority game is attractive because it has intuitive
similarities to e.g. securing niche businesses. We enhance this intuitive
similarity by extending the game through the introduction of delayed payoffs.
Payoffs depend on the values of future moves; we reward choices which later on
become popular.
We study agents' moves in such global game with delayed payoff. Instead of an
evolutionary approach we allow learning in the agents. We study strategies that
may emerge through learning in agents in such games.
Love before Sex Wan Ahmad Tajuddin Wan Abdullah
arXiv.org,
12/2004
Paper
Odprti dostop
Much has been debated about the benefit of sexual over asexual reproduction in terms of evolutionary fitness. Here we focus on the advantage that may be brought about by the process of mating, where ...the choosing of mates contributes to the increase in fitness in a constructive way. We carry out computer simulations of such mating systems and investigate, on one hand, how mate phenotypes contribute to offspring fitness, and, on the other hand, how selection affects mate phenotypes. We discuss how helpful such a mechanism may be in determining trajectories on rugged energy landscapes leading to global optimum.
We study the \(\bar{\nu}_e-e\) scattering from low to ultrahigh energy in the framework of Higgs Triplet Model (HTM). We add the contribution of charged Higgs boson exchange to the total cross ...section of the scattering. We obtain the upper bound \(h_{ee}/M_{H^\pm}\lesssim2.8\times10^{-3}GeV^{-1}\) in this process from low energy experiment. We show that by using the upper bound obtained, the charged Higgs contribution can give enhancements to the total cross section with respect to the SM prediction up to 5.16% at \(E\leq10^{14}\) eV and maximum at \(s\approx M_{H^\pm}^2\) and would help to determine the feasibility experiments to discriminate between SM and HTM at current available facilities.
We construct a model of social behaviour through the dynamics of interacting
agents. The agents undergo game-theoretic interactions where each agent can
decide to lend support to particular other ...agents or otherwise, and agents are
rewarded according to total support received. We analyse and carry out Monte
Carlo simulations of such systems to uncover their evolutionary dynamics, and
to explore their phase structure.
We study an interacting agent model of a game-theoretical economy. The agents play a minority-subsequently-majority game and they learn, using backpropagation networks, to obtain higher payoffs. We ...study the relevance of heterogeneity to performance, and how heterogeneity emerges.
Economic ensembles can be modeled as networks of interacting agents whose be-haviors are described in terms of game theory. The evolutionary paradigm has been applied to two-person games to discover ...strategies in this context. Subse-quently, many-player games, and specifically global games (where payoffs depend collectively on all the rest of the players) as with the minimal game, have been studied. The minority game is attractive because it has intuitive similarities to e.g. securing niche businesses. We enhance this intuitive similarity by extending the game through the introduction of delayed payoffs. Payoffs depend on the values of future moves; we reward choices which later on become popular. We study agents' moves in such global game with delayed payoff. Instead of an evolutionary approach we allow learning in the agents. We study strategies that may emerge through learning in agents in such games.
This paper presents some new approach in designing hardware discrete Hopfield network. For the network architecture, the bus-based approach is used to largely reduce the number of connection count. ...Field-ordered updating algorithm is used in place of the typical random-ordered updating due to its added advantage in finding global minimum. As for the implementation, VLSI language has been used due to its ease in describing and documenting complex digital design. Besides, modern CAD tools enables the synthesis of VHDL codes into layout plans on customized FPGA chips and making corresponding timing simulation.
Kinetic Economies Abdullah, Wan Ahmad Tajuddin Wan; Khidzir, Sidiq Mohamad
2007/10
Paper
We study a minimalist kinetic model for economies. A system of agents with local trading rules display emergent demand behaviour. We examine the resulting wealth distribution to look for non-thermal ...behaviour. We compare and contrast this model with other similar models.
