A novel paradigm and system for interactive generative music are described. Families of musical pieces are represented as functions of a time variable and several variables under user control. Composition/performance proceeds in the following two stages. Interactive grammatical evolution is used to represent, explore, and optimise the possible functions. The computer mouse or a Wii-controller c...

In this paper we propose an evolutionary approach capable of successfully combining rules to play the popular video game, Ms. PacMan. In particular we focus our attention on the benefits of using Grammatical Evolution to combine rules in the form of “if then perform ”. We defined a set of high-level functions that we think are necessary to successufully maneuver Ms. Pac-Man ...

Air pollution is a pressing concern in urban areas, necessitating the critical monitoring of air quality to understand its implications for public health. Internet Things (IoT) devices are widely utilized due their sensor capabilities and seamless data transmission over Internet. Artificial intelligence (AI) machine learning techniques play crucial role classifying patterns derived from data. E...

This paper presents and analyzes a programming tool that implements method for classification function regression problems. builds new features from existing ones with the assistance of hybrid algorithm makes use artificial neural networks grammatical evolution. The implemented software exploits modern multi-core computing units faster execution. has been applied to variety problems, an extensi...

Adaptation during evolution has been an important focus of research in training neural networks. Cooperative coevolution has played a significant role in improving standard evolution of neural networks by organizing the training problem into modules and independently solving them. The number of modules required to represent a neural network is critical to the success of evolution. This paper pr...

Understanding how and why language subsystems differ in their evolutionary dynamics is a fundamental question for historical and comparative linguistics. One key dynamic is the rate of language change. While it is commonly thought that the rapid rate of change hampers the reconstruction of deep language relationships beyond 6,000-10,000 y, there are suggestions that grammatical structures might...

The problem of data classification or fitting is widely applicable in a multitude scientific areas, and for this reason, number machine learning models have been developed. However, many cases, these present problems overfitting cannot generalize satisfactorily to unknown data. Furthermore, the features input do not contribute learning, there may even be hidden correlations between dataset. pur...