The Ribbon of Love--论文代写范文精选

很明显,有相对很大的差异，观察者和她敏锐的社会科学和自然科学方面。此外,测量相对很难被信任,计算社会学承认新突破的存在，通过改进的科学方法和建模，克服这些特定问题。通过模拟的方式来做实验，捕获社会动态有很大的影响。下面的essay代写范文进行详述。

Abstract 
The paper brings two motivations to the theoretical explorations of social analysis. The first is to enrich the agent based computational sociology by incorporating the fuzzy set theory in to the computational modeling. This is conducted by showing the importance to include the fuzziness into artificial agent’s considerations and her way acquiring and articulate information. This is continued with the second motives to bring the Darwinian sexual selection theory – as it has been developed broadly in evolutionary psychology – into the analysis of social system including cultural analysis and other broad aspects of sociological fields. The two was combined in one computational model construction showing the fuzziness of mating choice, and how to have computational tools to explain broad fields of social realms. The paper ends with some opened further computer program development.   
Keywords: fuzzy set, agent‐based model, artificial societies, social simulations, social theory, sexual selection.

From Theoretical Fuzziness to the Fuzzy Love 
To be honest, the long history of social sciences told us stories of theoretical debates that frequently trapped social researchers into (sometimes) seemingly vague statements, confusions, and hesitations between explanations and descriptions (Craib, 1992), while eventually in some particular researchers and writers vigorously participate in the “postmodernistic” polemics questioning signs and language (read: lingua) in the observations to social phenomena . Here, in some cases social sciences loose their positive values of scientific endeavors, while in return brought some tensions with their counterparts in natural sciences faculties (cf. Situngkir, 2003a). 

It is obvious that there is comparatively quite big differences between the place of an observer and her observant in social sciences and the natural sciences. Subjectivity of an observing agent may just arouse in the similar manners with those appear in a social actor acting as the observant. Furthermore, since measurements in social system are relatively hard to be trusted as a chemist, for instance, trusted her measurements of the chemical reactions she is being observed, there is no guarantee that certain social theory for being universal in its nature (see interesting debates in Eve, at. al. (1997) and cf. Tilly, 2004). Most social theory seems to be spatio‐temporal with high sensitivity to time and historical backgrounds surrounding it. Some notions about path‐dependencies are realized to become the source of this problem (cf. Arthur, 2005). 

Those facts, in some manners has invigorates the contra to lots of quantitative methods in social sciences and systematically harden any tight analytical approach to certain phenomena. The presence of computational sociology admits new breakthroughs in the improvements of scientific methods and modeling with some expectations to overcome those particular problems (Macy & Willer, 2002). Simulations as a way to do experiments by capturing the social dynamics has a great celebration among recent social analysts (Gilbert & Troitzsch, 1999), or some called them computational social scientist. Some works on agent‐based model and how it could deliver social scientist get back to the track for the betterment of understandings without even being trapped to those factors elaborated above (cf. Epstein & Axtell (1996), Axelrod (1998), and some notions on qualitative validations by Moss & Edmonds, 2005). 

Thus, this sense makes the computational sociology becomes a good alternative tool for social researchers to observe, analyze, and understand Page | 3   the dynamics (micro‐macro, macro‐macro, macro‐micro, and micro‐micro) of the social system in our age (cf. Coleman, 1990). Computational sociology does the experiments to investigate phenomena from certain generative mechanisms (Situngkir, 2004b) and this is brought by imitating the underlying dynamics of particular social processes (Küppers & Lenhard, 2005). Nonetheless, as we gaze to the nature of the social analysis some innovations has been done in the way to build social simulations and artificial societies. A way to preserve the nature of non‐ quantifiable things in social processes (that is micro‐decisions) is the motive of the paper. One possible way to do this is by employing the fuzzy sets and notions in membership degrees as introduced by Zadeh (1965) for fuzzy sets can be treated as an interesting approximators to a lot of measurements (Kosko, 1994) and thus become a powerful tool to understand the embedded complexity in social life (cf. Situngkir, 2003b).  

Concluding Remarks   
We outlined the theoretical background of the main property in the computational sociology approaches including agent‐based model in social analysis as and the artificial society. This is brought by contrasting certain (classical) sociological approaches and the evolutionary notions on social processes. The natures of the human individual preferences are heterogeneous without any crisp boundaries (discrete choices) but by mapping the crisp boundaries to the (continuous) probability of values in the term of membership function and fuzzy ruled agents.   Sexual selection is considered play important thing in the interspecies evolution. While interspecies evolution and competitive processes within are rarely considered important in conventional sociological works, the advancements of evolutionary psychology researches has shown its interesting ability to explain particular social and sociological features. 

This is somewhat a challenge for the future of sociological analysis under the umbrella of greater analytical scope of general social science to incorporating many social and cultural phenomena in the terms of evolutionary paradigms. Since sexual selection holds the major role in intra‐species competition, the comprehensive computational approaches are unavoidably needed. We have built a computational model showing the fuzzy‐ruled heterogeneous agents to be simulated to dynamically use their artificial cognition to decide whom to mate with and what to do in order to have the best mate by upgrading respective sexual qualities as perceived by the opposite sex. The simulation results shows that the built model opens many possible further experiments that one day could be verified with more and more empirical data. This should have become an interesting feature of computational sociology Page | 13   as two scientific disciplines can present productive innovations for the heart of computational sociology is interdisciplinary discourses.  （essay代写)

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