This article reviews recent progress made by computational studies investigating the
emergence, via learning or evolutionary mechanisms, of communication among a collection …

Evolutionary robotics is a biologically inspired approach to robotics that is advantageous to
studying the evolution of communication. A new model for the emergence of communication …

Theories of language evolution typically attribute its unique structure to pressures acting on
the genetic transmission of a language faculty and on the cultural transmission of language …

Motivated by specialization (lateralization) that occurs in corresponding left and right regions
of the cerebral cortex, several past computational models have studied conditions under …

The field of language evolution and computation may benefit from using efficient and robust
simulation tools that are based on widely exploited principles within the field. The tool …

We propose computational approach to the Peircean triadic model of semiosis (meaning
processes). We investigate several theoretical constraints on the feasibility of a simulated …

This paper investigates factors influencing the establishment of a common spatial lexicon in
a community of agents moving in a simulated environment. The model avoids some …

The emergence and evolution of human language has been the focus of increasing
amounts of research activity in recent years. This increasing interest has been coincident …

In this paper, a system where virtual creatures called bugs navigating a grid-based
environment, which is controlled by developmental and evolutionary CPM neural networks …

Human language is a remarkable communication system, apparently unique among
animals. All humans have a built-in learning mechanism known as universal grammar or …