Evolution of Communication in Robots (original) (raw)
Related papers
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.
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 ...
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.
On the Emergence of Communication: An Argument from Robotics
Some “traditional” issues in language emergence and development are viewed through the prism of the interaction of autonomous robots with their environment and through their communicative skills based on the signaling system which emerges as a result of the robots’ own evolution. The main goal of the paper is to present initial conditions necessary for the emergence of communication in a group of robots. First, the paper discusses, in relation to the general faculty of language, the change that has taken place within cognitive science, particularly within computational modelling and Artificial Intelligence. Then a number of basic, individual cognitive mechanisms (pre-adaptations) are suggested, including the robots’ ability to distinguish signals, associate them with particular situations and imitate signaling behavior. These basic individual abilities may develop in the context of a community of interacting agents as well as in the changing communicative environment. In order to practice and develop the cognitive capacities, robotic agents are expected to engage in a number of activities ("language games"), including the imitation of actions, the negotiation of reference and the use of signals in the absence of referents. Inquiries into the emergence of communication in natural and artificial systems can help isolate the possible stages of the development of the robots’ communicative abilities.
2002
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.
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.
IEEE Transactions on Autonomous Mental Development, 2011
Populations of simulated agents controlled by dynamical neural networks are trained by artificial evolution to access linguistic instructions and to execute them by indicating, touching or moving specific target objects. During training the agent experiences only a subset of all object/action pairs. During post-evaluation, some of the successful agents proved to be able to access and execute also linguistic instructions not experienced during training. This owes to the development of a semantic space, grounded in the sensory motor capability of the agent and organised in a systematised way in order to facilitate linguistic compositionality and behavioural generalisation. Compositionality seems to be underpinned by a capability of the agents to access and execute the instructions by temporally decomposing their linguistic and behavioural aspects into their constituent parts (i.e., finding the target object and executing the required action). The comparison between two experimental conditions, in one of which the agents are required to ignore rather than to indicate objects, shows that the composition of the behavioural set significantly influences the development of compositional semantic structures.