CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Simulating the evolution of language
Simulating the evolution of language
Grounded Symbolic Communication between Heterogeneous Cooperating Robots
Autonomous Robots
Language Games for Autonomous Robots
IEEE Intelligent Systems
Evolving Communication without Dedicated Communication Channels
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
Establishing Communication Systems without Explicit Meaning Transmission
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
The Development of Embodied Cognition: Six Lessons from Babies
Artificial Life
Conversational robots: building blocks for grounding word meaning
HLT-NAACL-LWM '04 Proceedings of the HLT-NAACL 2003 workshop on Learning word meaning from non-linguistic data - Volume 6
Flexible word meaning in embodied agents
Connection Science - Social Learning in Embodied Agents
A self-organizing spatial vocabulary
Artificial Life
Evolution of Communication and Language in Embodied Agents
Evolution of Communication and Language in Embodied Agents
Robotics and Autonomous Systems
Persistent Navigation and Mapping using a Biologically Inspired SLAM System
International Journal of Robotics Research
Evolution of communication and language using signals, symbols, andwords
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Mental imagery for a conversational robot
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The physical symbol grounding problem
Cognitive Systems Research
Are We There Yet? Grounding Temporal Concepts in Shared Journeys
IEEE Transactions on Autonomous Mental Development
Beyond here-and-now: extending shared physical experiences to shared conceptual experiences
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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For mobile robots to communicate meaningfully about their spatial environment, they require personally constructed cognitive maps and social interactions to form languages with shared meanings. Geographic spatial concepts introduce particular problems for grounding-connecting a word to its referent in the world-because such concepts cannot be directly and solely based on sensory perceptions. In this article we investigate the grounding of geographic spatial concepts using mobile robots with cognitive maps, called Lingodroids. Languages were established through structured interactions between pairs of robots called where-are-we conversations. The robots used a novel method, termed the distributed lexicon table, to create flexible concepts. This method enabled words for locations, termed toponyms, to be grounded through experience. Their understanding of the meaning of words was demonstrated using go-to games in which the robots independently navigated to named locations. Studies in real and virtual reality worlds show that the system is effective at learning spatial language: robots learn words easily-in a single trial as children do-and the words and their meaning are sufficiently robust for use in real world tasks.