Co-operative OuLiPian Generative Literature using Human Based Evolutionary Computing
نویسندگان
چکیده
The tools and techniques employed by Interactive Evolutionary Computing [21] offer procedures which put human interaction at the centre of the problem solving process. Human Based GA systems [7], [8] such as the Automatic Concept Evolver (ACE) [6] offer an infrastructure that has been proven to work efficiently in solving problems which involve the evolution of natural language strings. Oulipo is a French literary movement founded in the 1960s which applies mathematical constraints in the creation of literature making them distinct from other experimental literary groups [10]. Their literary creations change the dynamics of the author-reader relationship because they provide a different experience from reading traditional narratives where intuition and emergence are fundamental to creative exploration. This paper proposes the application of the ACE methodology to arbitrate between a group of interacting authors to produce Oulipian literature and specifies experiment to test this approach in practice. It is proposed, that ACE can be likened to an Oulipian constraint and thus the experimental output will allow the reader to choose a path through the narrative, exploring new
منابع مشابه
Multi-objective Co-operative Co-evolutionary Genetic Algorithm
This paper presents the integration between two types of genetic algorithm: a multi-objective genetic algorithm (MOGA) and a co-operative co-evolutionary genetic algorithm (CCGA). The resulting algorithm is referred to as a multi-objective co-operative co-evolutionary genetic algorithm or MOCCGA. The integration between the two algorithms is carried out in order to improve the performance of th...
متن کاملSoft Computing Methods based on Fuzzy, Evolutionary and Swarm Intelligence for Analysis of Digital Mammography Images for Diagnosis of Breast Tumors
Soft computing models based on intelligent fuzzy systems have the capability of managing uncertainty in the image based practices of disease. Analysis of the breast tumors and their classification is critical for early diagnosis of breast cancer as a common cancer with a high mortality rate between women all around the world. Soft computing models based on fuzzy and evolutionary algorithms play...
متن کاملA generative design system based on evolutionary and mathematical functions
Previous work by Professor John Frazer on Evolutionary Architecture provides a basis for the development of a system evolving architectural envelopes in a generic and abstract manner. Recent research by the authors has focused on the implementation of a virtual environment for the automatic generation and exploration of complex forms and architectural envelopes based on solid modelling techniqu...
متن کاملComparison of Multi-agent Co-operative Co-evolutionary and Evolutionary Algorithms for Multi-objective Portfolio Optimization
Co-evolutionary techniques makes it possible to apply evolutionary algorithms in the cases when it is not possible to formulate explicit fitness function. In the case of social and economic simulations such techniques provide us tools for modeling interactions between social or economic agents—especially when agent-based models of co-evolution are used. In this paper agent-based versions of mul...
متن کاملGenetic Programming + Unfolding Embryology in Automated Layout Planning
ABSTRACT Automated layout planning aims to the implementation of computational methods for the generation and the optimization of floor plans, considering the spatial configuration and the assignment of activities. Sophisticated strategies such as Genetic Algorithms have been implemented as heuristics of good solutions. However, the generative forces that derive from the social structures have ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005