Language Evolution and Computation Bibliography

Unlike a standard online experiment, a gaming app lets participants interact freely with a vast number of partners, as many times as they wish. The gain is not merely one of statistical power. Cultural evolutionists can use gaming apps to allow large numbers of participants to communicate synchronously; to build realistic transmission chains that avoid the losses of information that occurs in linear chains; and to study the effects of partner choice as well as partner control in social interactions. We are releasing an app designed to take advantage of these opportunities and generate realistic language evolution dynamics.

Can we communicate across the barrier of languages, with images instead of sounds? The scientists behind the color game will document the evolution of a new kind of language, a language beyond words. They will explore the way that new symbols emerge, acquire a meaning, or change their meaning, over time and across space. Will the color game give birth to different dialects, languages that only some people can understand but not others? Will the images of the color game evolve in the same way that words for colour evolved through human history? These are some of the questions that the creators of the Color Game hope to answer.

It is well established that context plays a fundamental role in how we learn and use language. Here we explore how context links short-term language use with the long-term emergence of different types of language system. Using an iterated learning model of cultural transmission, the current study experimentally investigates the role of the communicative situation in which an utterance is produced (situational context) and how it influences the emergence of three types of linguistic systems: underspecified languages (where only some dimensions of meaning are encoded linguistically), holistic systems (lacking systematic structure), and systematic languages (consisting of compound signals encoding both category-level and individuating dimensions of meaning). To do this, we set up a discrimination task in a communication game and manipulated whether the feature dimension shape was relevant or not in discriminating between two referents. The experimental languages gradually evolved to encode information relevant to the task of achieving communicative success, given the situational context in which they are learned and used, resulting in the emergence of different linguistic systems. These results suggest language systems adapt to their contextual niche over iterated learning.

Recent studies have taken advantage of newly available, large-scale, cross-linguistic data and new statistical techniques to look at the relationship between language structure and social structure. These ‘nomothetic’ approaches contrast with more traditional approaches and a tension is observed between proponents of each method. We review some nomothetic studies and point out some challenges that must be overcome. However, we argue that nomothetic approaches can contribute to our understanding of the links between social structure and language structure if they address these challenges and are taken as part of a body of mutually supporting evidence. Nomothetic studies are a powerful tool for generating hypotheses that can go on to be corroborated and tested with experimental and theoretical approaches. These studies are highlighting the effect of interaction on language.