A Memetic Approach to the Evolution of Rhythms in a Society of Software Agents
نویسندگان
چکیده
We are developing RGeme (Rhythmic Meme Generator), an artificial intelligence system for the composition of rhythmic streams inspired by Richard Dawkin's theory of memes. The system is based on intelligent agents that learn from examples and interact by generating rhythms. The system has two broad stages. In the first one, the learning stage, which is the main focus of this paper, Agents are trained with examples of musical pieces in order to evolve a “musical worldview” which consists of a “Style Matrix” of basic rhythmic elements (or "rhythmic memes”). In the next (production) stage Agents are able to learn from each other's "compositions" and capable of evolving new rhythmic styles by adapting to each other's rhythms.
منابع مشابه
Dynamic Categorization of Semantics of Fashion Language: A Memetic Approach
Categories are not invariant. This paper attempts to explore the dynamic nature of semantic category, in particular, that of fashion language, based on the cognitive theory of Dawkins’ memetics, a new theory of cultural evolution. Semantic attributes of linguistic memes decrease or proliferate in replication and spreading, which involves a dynamic development of semantic category. More specific...
متن کاملA multi-objective memetic algorithm for risk minimizing vehicle routing problem and scheduling problem
In this paper, a new approach to risk minimizing vehicle routing and scheduling problem is presented. Forwarding agents or companies have two main concerns for the collection of high-risk commodities like cash or valuable commodities between the central depot and the customers: one; because of the high value of the commodities transported, the risk of ambush and robbery are very high. Two; the ...
متن کاملA Differential Evolution and Spatial Distribution based Local Search for Training Fuzzy Wavelet Neural Network
Abstract Many parameter-tuning algorithms have been proposed for training Fuzzy Wavelet Neural Networks (FWNNs). Absence of appropriate structure, convergence to local optima and low speed in learning algorithms are deficiencies of FWNNs in previous studies. In this paper, a Memetic Algorithm (MA) is introduced to train FWNN for addressing aforementioned learning lacks. Differential Evolution...
متن کاملMMDT: Multi-Objective Memetic Rule Learning from Decision Tree
In this article, a Multi-Objective Memetic Algorithm (MA) for rule learning is proposed. Prediction accuracy and interpretation are two measures that conflict with each other. In this approach, we consider accuracy and interpretation of rules sets. Additionally, individual classifiers face other problems such as huge sizes, high dimensionality and imbalance classes’ distribution data sets. This...
متن کاملA Flexible Integrated Forward/ Reverse Logistics Model with Random Path-based Memetic Algorithm
Due to business and environmental issues, the efficient design of an integrated forward/reverse logistics network has recently attracted more attention from researchers. The significance of transportation cost and customer satisfaction spurs an interest in developing a flexible network design model with different delivery paths. This paper proposes a flexible mixed-integer programming model to ...
متن کامل