Although cultural evolution clearly outpaces genetic evolution in the natural world due to its higher rates of reproduction, recombination and selection, it does so built on biological foundations. In the natural world, cultural change takes place in minutes, days, years or decades, whereas genetic change takes at least a decade and a half. In the natural and cultural worlds the media of evolut...

Cultural algorithm is a kind of evolutionary algorithm inspired from societal evolution and is composed of a belief space, a population space and a protocol that enables exchange of knowledge between these sources. Knowledge created in the population space is accepted into the belief space while this collective knowledge from these sources is combined to influence the decisions of the individua...

The electrical generator maintenance scheduling problem has been tackled by a variety of traditional optimisation techniques over the years. This paper proposes a method to solve the maintenance scheduling problem, called the parallel co-operating cultural algorithm (PARCA). In the proposed model, a variety of selection mechanisms, operators, communication methods, and local search procedures a...

Based on the study of cultural algorithms and particle swarm optimization, a new method of FIR digital filters design, called cultural particle swarm optimization (CPSO) is presented in this paper. CPSO is a global convergent algorithm that can find out the global optima of the problem. The algorithm concept and implementing procedure of CPSO are described in detail. The simulation results show...

Internet, apart from a huge repository of information of any kind, has become the main means of modern communications and World Wide Web has emerged as a new sort of society since it usually reflects almost all aspects of modern societies in terms of their economic, political and social status and structure. Therein, over wired and wireless connections, through ingenious ideas, i.e., algorithms...

This study presents the normative knowledge source for the belief space of cultural algorithm(CA) based on an adaptive Radial Basis Function Neural Network (RBFNN). The use of the RBFNN makes it possible to use the previous upper and lower bounds of the normative knowledge to update them and to extract a logical relationship between the previous parameters of the normative knowledge and their n...

In this paper, we propose to integrate particle swarm optimization algorithm into cultural algorithms frame to develop a more efficient cultural particle swarm algorithms (CPSA) for constrained multi-objective optimization problem. In our CPSA, the population space of cultural algorithms consists of n+1 subswarms which are used to search for the n single-objective optimums and an additional mul...

In recent years, laboratory studies of cultural evolution have become increasingly prevalent as a means of identifying and understanding the effects of cultural transmission on the form and functionality of transmitted material. The datasets generated by these studies may provide insights into the conditions encouraging, or inhibiting, high rates of innovation, as well as the effect that this h...

We discuss the importance of narrative intelligence (story-awareness, story-telling, historical grounding) in regard to an agent’s transcendence of its immediate local temporal context to create a broad temporal horizon in which the experience and future of the agent can be accounted for, together with the advantage that narrative provides to sociality by making the experience of others availab...