A Research for Evolutionary Process Based on TRIZ Evolution Theory

2010 ◽  
Vol 20-23 ◽  
pp. 1328-1335 ◽  
Author(s):  
Shao Bo Li ◽  
Jian Hui Mou

Technology Evolutionary Process have own rule and model,it can be forcasted. How to predict the future technological development and quickly develop next-generation products has become a powerful weapon of market competition. TRIZ EvolutionTheory is one of the most advantages and vitality in almost product technology prediction theory. This article summarized the evolution mode and evolution route based on in-depth study of TRIZ evolution theory ,and researched correlation.At last this article introduced how to use the basic principles of evolutionary theory to solve practical problems of the process approach. And to farming with the plow as an example a typical product design, to have been verified.

2012 ◽  
Vol 452-453 ◽  
pp. 437-440
Author(s):  
Min Huang ◽  
Hong Juan Qiao

Emotional design is one of the most important methods in modern product design. It was highlighted after Donald A. Norman published his book Emotional design: why we love (or hate) everyday things. Emotional design addresses people’s needs and hopes which is in the center of the development of product design and product technology. Due to the lack of strong theoretical basis and quantitative analysis, many products can’t reach the goal of their designers with Emotional feelings, nor can consumer’s emotional understandings be similar to the designers’ emotional expectations. This paper analyzes the concept of emotional design and some difficulties which designers must to be faced in their emotional designing works, discusses on product shape design according to emotional design. On this basis, the Kansei engineering and emotional design methods are described in details.


2015 ◽  
Vol 12 (104) ◽  
pp. 20141226 ◽  
Author(s):  
Chiara Marletto

Neo-Darwinian evolutionary theory explains how the appearance of purposive design in the adaptations of living organisms can have come about without their intentionally being designed. The explanation relies crucially on the possibility of certain physical processes : mainly, gene replication and natural selection . In this paper, I show that for those processes to be possible without the design of biological adaptations being encoded in the laws of physics, those laws must have certain other properties. The theory of what these properties are is not part of evolution theory proper, yet without it the neo-Darwinian theory does not fully achieve its purpose of explaining the appearance of design. To this end, I apply constructor theory's new mode of explanation to express exactly within physics the appearance of design, no-design laws, and the logic of self-reproduction and natural selection. I conclude that self-reproduction, replication and natural selection are possible under no-design laws, the only non-trivial condition being that they allow digital information to be physically instantiated. This has an exact characterization in the constructor theory of information. I also show that under no-design laws an accurate replicator requires the existence of a ‘vehicle’ constituting, together with the replicator, a self-reproducer.


Author(s):  
Gino Cattani ◽  
Mariano Mastrogiorgio

The publication of ‘An Evolutionary Theory of Economic Change’ by Nelson and Winter has had a major impact on economics and related fields such as innovation and strategy. All of these fields have developed owing to recent re-examinations and extensions of evolutionary theory. A paradigm that underlies several studies in this tradition is the concept of neo-Darwinian evolution—the idea that the unit of the evolutionary process (e.g. a technological artefact) is subject to a dynamic of variation, selection, and retention leading to adaptation to a predefined function. This book refers to the frameworks of punctuated equilibrium, speciation, and exaptation, which, despite their significant influence in evolutionary biology, have been reflected only partially in evolutionary approaches to economics, innovation, and strategy. This chapter introduces the book’s aim to fill this gap, and outlines the approaches and perspectives of each of the chapters.


2012 ◽  
Vol 15 (supp01) ◽  
pp. 1250044 ◽  
Author(s):  
ADRIAN VASILE ◽  
CARMEN EUGENIA COSTEA ◽  
TANIA GEORGIA VICIU

Evolutionary game theory can be attested as a practical apparatus in providing additional information on the workings of the open market and on the blueprint for dynamics in economic phenomena. Through an interdisciplinary approach to different game scenarios, the dependencies among market forces are observed, thus, being capable of offering insight on the incentives for adopting different behaviors. This paper takes use of the different factors that form the payoff of certain strategies which can be adopted by companies, and determines the prerequisites for cooperation or competition while all together constructing settings and predictions on the evolution of the phenomena. Determining the evolutionary stable strategy for different scenarios and looking at the way in which the probability of encountering a certain behavior is constructed, provide the possibility to determine the outcome of an ongoing evolutionary process. By studying the monotony of the probability function in respect to each of the factors that contribute to the payoffs, the study indicates that there is a positive relation between the percentage of population playing competitive strategies and market potential, costs, and risks of penalty for cooperation and a negative relation between this percentage and the disputed market share and supplementary winnings from arrangements.


Author(s):  
Asher Leeks ◽  
Melanie Ghoul ◽  
Stuart West

The extent to which cheating occurs in the natural world has proved contentious. We suggest that viruses offer an exceptional opportunity for studying cheats, individuals that exploit the cooperative behaviour of others. In particular, we show that: (1) cheating is common in viruses; (2) there are many different types of viral cheat; (3) viral cheats offer novel problems for social evolution theory; (4) viruses offer excellent empirical opportunities for studying cheating; (5) cheating shows that viral populations experience substantial conflict, changing how we think about how viral infections evolve; (6) evolutionary theory about cheating could help us understand viral evolution; (7) a greater understanding of cheating in viruses could aid viral intervention strategies.


The concept of epistasis was introduced into evolutionary theory more than a hundred years ago. Its history is marked by controversies regarding its importance for the evolutionary process, as exemplified by the debate between Ronald Fisher and Sewall Wright in the wake of the modern synthesis. In this case the disagreement was about the shape of the adaptive landscape, which is determined by epistasis. Wright believed that epistasis causes the adaptive landscape to be rugged with many local peaks, whereas Fisher viewed evolution as a smooth, steady progression toward a unique optimum. Even today, the different meanings attributed to epistasis continue to spawn confusion. Nevertheless, a consensus is emerging, according to which the term should be used to designate interactions between genetic effects on phenotypes in the broadest sense. Stated differently, in the presence of epistasis the phenotypic effects of a gene depend on its genetic context. In evolutionary theory the phenotype of primary interest is organismal fitness, but principally the concept applies to any genotype-phenotype map. Reflecting the Fisherian view, throughout the 20th century epistasis was often considered to be a residual perturbation on the main effects of individual genes. Following the advent of sequencing techniques providing insights into the molecular basis of genotype-phenotype maps, over the past two decades it has become clear, however, that epistasis is the rule rather than an exception. This has motivated a large number of empirical studies exploring the patterns and evolutionary consequences of epistasis across a wide range of scales of organismal and genomic complexity. Correspondingly, mathematical and computational tools have been developed for the analysis of experimental data, and models have been constructed to elucidate the mechanistic and statistical origins of genetic interactions. Despite a certain inherent vagueness, the concept takes center stage in modern evolutionary thought as a framework for organizing the accumulating understanding of the relationship among genotype, phenotype, and organism.


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