About this Research Topic
The study of language evolution has focused both on the biological evolution of linguistic abilities of humans and the cultural evolution of language, which could have coevolved with each other. Such interactions between different levels of evolutionary systems are also occurring in modern societies, that is, the coevolution of communication platforms and communicative interactions on those platforms.
In addition, the forms of communication today are becoming more and more diverse due to the COVID-19 pandemic. A variety of online communication platforms (e.g., Zoom, SpatialChat, Spatial, Clubhouse) are emerging as well as SNSs (e.g., Twitter, Instagram). While such platforms have reduced spatial and temporal constraints in our communication, we need to interact with people, avatars, and artificial agents in various types of online platforms. Furthermore, roles of face-to-face communication including non-verbal interactions are also becoming important to complement such new forms of communications, and mixture of them are also emerging (e.g. XR, Metaverse).
Meanwhile, these trends provide us an opportunity to adapt to or coevolve with such emerging systems to make our communication co-creative in the sense that communicative interactions can bring about emergence of novel knowledge, opportunities, options, values, and social dynamics.
Constructive approaches to communicative interactions, such as the origin and evolution of language, can contribute to the design of novel forms of online, face-to-face, and hybrid interactions for such co-creative communication. They have developed various methodologies to create artificial and communicative contexts (e.g., game-theoretical experiments, human-robot interactions, cultural transmission experiments, experimental semiotic approaches, artificial agents, cognitive architectures, network modellings, artificial life) to consider possible scenarios of social evolution of language and culture, as complex adaptive systems. Those methodologies may enable us to reveal novel dynamics of digital dialects that can emerge in social relationships on SNSs, which may be different from those in traditional geographic relationships. Furthermore, approaches to emergent communication may allow us to understand how novel syntactic or lexical properties can evolve to be shared in such recently emerging social relationships. Pro-social computing in AI fields have also been studied to promotion of cooperative behavior, which are important concepts for co-creative communication.
In addition, emergent communication and pro-social computing in AI fields have also been studied recently to discuss emergence of complex or rich communication protocols and promotion of cooperative behavior, which are important concepts for co-creative communication.
It is expected that these approaches and concepts, , related to cultural evolution of language, can bring about new insights into practical design and development of online and face-to-face communication.
The role of this interdisciplinary Research Topic is to bring together the current research based on constructive approaches focusing on social evolution as complex adaptive systems, which can contribute to understanding, design, and application of co-creative communication on online, face-to-face and hybrid systems.
We welcome manuscripts on the following subjects:
• Evolutionary dynamics of language and linguistic interactions
• Emergent dynamics in human-robot systems
• Agent-based modeling on co-creative communicative interactions
• Pro-social computing for co-creative communication
• Emergent communication and emergence of novel and shared syntactic or lexical properties
• Digital dialects in online social networks
• Quantification of co-creativeness
• Big data analyses of human communication
• Emergent dynamics of co-creative communication in hybrid (e.g., online and face-to-face; XR) communication
• Methodologies for computational or empirical frameworks for discussing co-creative communications
• Empirical methods (psychological experiments, observations, and surveys) on understanding co-creative aspects of communication
• Philosophical consideration including aesthetics and ethics
In addition, the forms of communication today are becoming more and more diverse due to the COVID-19 pandemic. A variety of online communication platforms (e.g., Zoom, SpatialChat, Spatial, Clubhouse) are emerging as well as SNSs (e.g., Twitter, Instagram). While such platforms have reduced spatial and temporal constraints in our communication, we need to interact with people, avatars, and artificial agents in various types of online platforms. Furthermore, roles of face-to-face communication including non-verbal interactions are also becoming important to complement such new forms of communications, and mixture of them are also emerging (e.g. XR, Metaverse).
Meanwhile, these trends provide us an opportunity to adapt to or coevolve with such emerging systems to make our communication co-creative in the sense that communicative interactions can bring about emergence of novel knowledge, opportunities, options, values, and social dynamics.
Constructive approaches to communicative interactions, such as the origin and evolution of language, can contribute to the design of novel forms of online, face-to-face, and hybrid interactions for such co-creative communication. They have developed various methodologies to create artificial and communicative contexts (e.g., game-theoretical experiments, human-robot interactions, cultural transmission experiments, experimental semiotic approaches, artificial agents, cognitive architectures, network modellings, artificial life) to consider possible scenarios of social evolution of language and culture, as complex adaptive systems. Those methodologies may enable us to reveal novel dynamics of digital dialects that can emerge in social relationships on SNSs, which may be different from those in traditional geographic relationships. Furthermore, approaches to emergent communication may allow us to understand how novel syntactic or lexical properties can evolve to be shared in such recently emerging social relationships. Pro-social computing in AI fields have also been studied to promotion of cooperative behavior, which are important concepts for co-creative communication.
In addition, emergent communication and pro-social computing in AI fields have also been studied recently to discuss emergence of complex or rich communication protocols and promotion of cooperative behavior, which are important concepts for co-creative communication.
It is expected that these approaches and concepts, , related to cultural evolution of language, can bring about new insights into practical design and development of online and face-to-face communication.
The role of this interdisciplinary Research Topic is to bring together the current research based on constructive approaches focusing on social evolution as complex adaptive systems, which can contribute to understanding, design, and application of co-creative communication on online, face-to-face and hybrid systems.
We welcome manuscripts on the following subjects:
• Evolutionary dynamics of language and linguistic interactions
• Emergent dynamics in human-robot systems
• Agent-based modeling on co-creative communicative interactions
• Pro-social computing for co-creative communication
• Emergent communication and emergence of novel and shared syntactic or lexical properties
• Digital dialects in online social networks
• Quantification of co-creativeness
• Big data analyses of human communication
• Emergent dynamics of co-creative communication in hybrid (e.g., online and face-to-face; XR) communication
• Methodologies for computational or empirical frameworks for discussing co-creative communications
• Empirical methods (psychological experiments, observations, and surveys) on understanding co-creative aspects of communication
• Philosophical consideration including aesthetics and ethics
Keywords: co-creative communication, constructive approaches, cooperative behaviour, language evolution, cultural evolution, complex adaptive systems, human-robot interactions, agent-based modelling, big-data analysis, pro-social computing, empirical methods, emergent communication, computational linguistics
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
