Language Evolution and Computation Bibliography

Semiotic dynamics involves the processes whereby groups of people or artificial agents collectively invent and negotiate shared semiotic systems, which they use for communication or information organization. Tagging systems (such as Flickr, CiteULike, del.icio.us, or connotea) offer examples of human semiotic dynamics at work, aided by technologies such as the Internet but also by a new sense of collective action in an increasingly connected world. Semiotic dynamics builds on many earlier AI developments: the insights into and technologies of semantic networks and knowledge representation from the seventies, the ideas on embodiment and grounding from the late eighties, and the perspective of multiagent systems from the nineties. But all these aspects join together into a new vision on intelligence, with the social, collective dynamics of representation-making at the center. These new AI developments don't stand in isolation; they resonate with recent developments in linguistics, psychology, and the mathematical study of networks. This article briefly illustrates the current study of semiotic dynamics, the resulting technologies, and the field's impact on current and future intelligent systems applications. This article is part of a special issue on the Future of AI.

Integration and grounding are key AI challenges for human-robot dialogue. The author and his team are tackling these issues using language games and have experimented with them on progressively more complex platforms. The results of their work show that language games are a useful way to both understand and design human-robot interaction.