Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Moving right along: a computational model of metaphoric reasoning about events
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Constructivist development of grounded construction grammars
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Connection Science - Language and Robots
Grounding the lexical semantics of verbs in visual perception using force dynamics and event logic
Journal of Artificial Intelligence Research
Semiotic schemas: A framework for grounding language in action and perception
Artificial Intelligence - Special volume on connecting language to the world
Acquisition of Grammar in Autonomous Artificial Systems
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Hierarchy in fluid construction grammars
KI'05 Proceedings of the 28th annual German conference on Advances in Artificial Intelligence
How grammar emerges to dampen combinatorial search in parsing
EELC'06 Proceedings of the Third international conference on Emergence and Evolution of Linguistic Communication: symbol Grounding and Beyond
Unify and merge in fluid construction grammar
EELC'06 Proceedings of the Third international conference on Emergence and Evolution of Linguistic Communication: symbol Grounding and Beyond
Acquisition of Grammar in Autonomous Artificial Systems
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
ESSLLI'10 Proceedings of the 2010 international conference on New Directions in Logic, Language and Computation
Markov logic networks for situated incremental natural language understanding
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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Artificial agents trying to achieve communicative goals in situated interactions in the real-world need powerful computational systems for conceptualizing their environment. In order to provide embodied artificial systems with rich semantics reminiscent of human language complexity, agents need ways of both conceptualizing complex compositional semantic structure and actively reconstructing semantic structure, due to uncertainty and ambiguity in transmission. Furthermore, the systems must be open-ended and adaptive and allow agents to adjust their semantic inventories in order to reach their goals. This paper presents recent progress in modeling open-ended, grounded semantics through a unified software system that addresses these problems.