Intention is choice with commitment
Artificial Intelligence
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
Toward natural language interfaces for robotic agents: grounding linguistic meaning in sensors
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Understanding Computers and Cognition: A New Foundation for Design
Understanding Computers and Cognition: A New Foundation for Design
Contentful mental states for robot baby
Eighteenth national conference on Artificial intelligence
Information state and dialogue management in the TRINDI dialogue move engine toolkit
Natural Language Engineering
A multimodal learning interface for grounding spoken language in sensory perceptions
ACM Transactions on Applied Perception (TAP)
An information-state approach to collaborative reference
ACLdemo '05 Proceedings of the ACL 2005 on Interactive poster and demonstration sessions
Grounded semantic composition for visual scenes
Journal of Artificial Intelligence Research
Computational Linguistics
Support collaboration by teaching fundamentals
TeachCL '08 Proceedings of the Third Workshop on Issues in Teaching Computational Linguistics
| Hi-index | 0.00 |
Language engineers often point to tight connections between their systems' linguistic representations and accumulated sensor data as a sign that their systems really mean what they say. While we believe such connections are an important piece in the puzzle of meaning, we argue that perceptual grounding alone does not suffice to explain the specific, stable meanings human speakers attribute to each other. Instead, human attributions of meaning depend on a process of societal grounding by which individual language speakers coordinate their perceptual experience and linguistic usage with other members of their linguistic communities. For system builders, this suggests that implementing a strategy of societal grounding would justify the attribution of bona fide linguistic meaning to a system even if it had little perceptual experience and only modest perceptual accuracy. We illustrate the importance and role of societal grounding using an implemented dialogue system that collaboratively identifies visual objects with human users.