Evolutions of communication (original) (raw)
Related papers
Evolving communication in evolutionary robotics
2007
In order to solve a collective task, a team of mobile autonomous robots needs to communicate with each other and with the environment. The creation of suitable control programs for these robots through evolutionary search requires knowledge about the prerequisites and environmental factors which drive the evolutionary process toward the development of effective communication. Since a lot of key features about the nature of the task, the capacities of the robots and the evolutionary forces are relatively unknown, it is not trivial which characteristics of a task stimulate a group of robots to develop a functional communication system. To gain insight in these questions a model is proposed which embodies some of the (presumably) key aspects that influence the development of communication. From this model a series of experimental setups is derived which is tested in a simulator (EvoRobot). Results show that it is hard to isolate different task dimensions because the presence of one aspect influences the usefulness of communication in relation to the other aspects. Nevertheless, it can be concluded that the most influential aspect that boosts the use of communication is the possibility for robots to have access to information which is useful for other robots. Next to this, the aim of this thesis is to investigate the characteristics of evolved communication systems and the level of complexity that can be achieved. Thus, various aspects of complexity on both the task setup and the resulting communication system are discussed and based on this a more complex task is developed. This results in a rich communication system which includes selective attention, different functional roles and integration of multiple communication channels. In order to strengthen findings in simulation, evolved behaviors are then transferred onto e-Puck robots.
Origins of Communication in Evolving Robots
Lecture Notes in Computer Science, 2006
In this paper we describe how a population of simulated robots evolved for the ability to solve a collective navigation problem develop individual and social/communication skills. In particular, we analyze the evolutionary origins of motor and signaling behaviors. Obtained results indicate that signals and the meaning of the signals produced by evolved robots are grounded not only on the robots sensory-motor system but also on robots' behavioral capabilities previously acquired. Moreover, the analysis of the co-evolution of robots individual and communicative abilities indicate how innovation in the former might create the adaptive basis for further innovations in the latter and vice versa.
The emergence of communication in evolutionary robots
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2003
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 is developed and tested through various simulation experiments. In the first simulation, the emergence of simple signalling behaviour is studied. This is used to investigate the inter-relationships between communication abilities, namely linguistic production and comprehension, and other behavioural skills. The model supports the hypothesis that the ability to form categories from direct interaction with an environment constitutes the grounds for subsequent evolution of communication and language. In the second simulation, evolutionary robots are used to study the emergence of simple syntactic categories, e.g. action names (verbs). Comparisons between the two simulations indicate that the signalling lexicon emerged in the first simulation follows the evolutionary pattern of nouns, as observed in related ...
Self-organization of communication in evolving robots
2006
In this paper we present the results of an experiment in which a collection of simulated robots that are evolved for the ability to solve a collective navigation problem develop a communication system that allow them to better cooperate. The analysis of the obtained results indicates how evolving robots develop a non-trivial communication system and exploit different communication modalities.
Evolution of Communication in Robots
Citeseer
During the last ten years, the attempt to study the evolution of communication and language through computational and robotic models has attracted the attention of an increasing number of researchers (for a review see: Kirby, 2002; Nolfi & Mirolli, in press). Indeed, the study of how populations of artificial agents that are embodied and situated can autonomously develop communication skills and a communication system while they interact with a physical and social environment, presents two important advantages with respect to experimental methods: (a) it allows to study how communication signals are grounded in agents" non-symbolic sensory-motor experiences, and (b) it allows to come up with precise and operational models of how communication skills can originate and of how established communication systems can evolve and adapt to variations of the physical and social environment.
Evolution of implicit and explicit communication in mobile robots
Evolution of communication and language …, 2010
This work investigates the conditions in which a population of embodied agents evolved for the ability to display coordinated/cooperative skills can develop an ability to communicate, whether and to what extent the evolved communication system can complexifies during the course of the evolutionary process, and how the characteristics of such communication system varies evolutionarily. The analysis of the obtained results indicates that evolving robots develop a capacity to access/generate information which has a communicative value, an ability to produce different signals encoding useful regularities, and an ability to react appropriately to explicit and implicit signals. The analysis of the obtained results allows us to formulate detailed hypothesis on the evolution of communication for what concern aspects such us: (i) how communication can emerge from a population of initially noncommunicating agents, (ii) how communication systems can complexifies, (iii) how signals/meanings can originate and how they can be grounded in agents sensory-motor states.
Evolving communicating agents that integrate information over time: a real robot experiment
2005
Abstract. In this paper we aim at designing artificial neural networks to control two autonomous robots that are required to solve a discrimination task based on time-dependent structures. The network should produce alternative actions according to the discrimination performed. Particular emphasis is given to the successful transfer of the evolved controllers on real robots.
Evolutionary robotics is a biologically inspired approach to robotics that is advantageous to studying the evolution of language. A new model for the evolution of language is presented. This model is used to investigate the interrelationships between communication abilities, namely linguistic production and comprehension, and other behavioral skills. For example, the model supports the hypothesis that the ability to form categories from direct interaction with an environment constitutes the ground for subsequent evolution of communication and language. A variety of experiments, based on the role of social and evolutionary variables in the emergence of communication, are described.