02685nam 2200421 450 991013625840332120230328181852.0(CKB)3710000000590861(PPN)199152748(NjHacI)993710000000590861(EXLCZ)99371000000059086120230328d2015 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierHow mobile robots can self-organise a vocabulary /Paul VogtBerlin, Germany :Language Science Press,[2015]©20151 online resource (xii, 270 pages) illustrationsComputational models of language evolution ;2Includes bibliographical references and indexes.Preface -- Acknowledgements -- 1. Introduction -- 2. The sensorimotor component -- 3. Language games -- 4. Experimental results -- 5. Varying methods and parameters -- 6. The optimal games -- 7. Discussion -- Appendix A: Glossary -- Appendix B: PDL code -- Appendix C: Sensory data distribution -- Appendix D: Lexicon and ontology -- References -- Indexes.One of the hardest problems in science is the symbol grounding problem, a question that has intrigued philosophers and linguists for more than a century. With the rise of artificial intelligence, the question has become very actual, especially within the field of robotics. The problem is that an agent, be it a robot or a human, perceives the world in analogue signals. Yet humans have the ability to categorise the world in symbols that they, for instance, may use for language. This book presents a series of experiments in which two robots try to solve the symbol grounding problem. The experiments are based on the language game paradigm, and involve real mobile robots that are able to develop a grounded lexicon about the objects that they can detect in their world. Crucially, neither the lexicon nor the ontology of the robots has been preprogrammed, so the experiments demonstrate how a population of embodied language users can develop their own vocabularies from scratch.Computational models of language evolution ;2.Artificial intelligenceLanguage acquisitionData processingArtificial intelligence.Language acquisitionData processing.006.3Vogt Paul1967-1348177NjHacINjHaclBOOK9910136258403321How mobile robots can self-organise a vocabulary3085343UNINA