Towards a general theory of action and time
Artificial Intelligence
Reasoning about qualitative temporal information
Artificial Intelligence - Special volume on constraint-based reasoning
A logic of time, chance, and action for representing plans
Artificial Intelligence
Reasoning about Gradual Changes of Topological Relationships
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
Natural language driven image generation
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Time for action: on the relation between time, knowledge and action
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
| Hi-index | 0.00 |
The Mental Image Directed Semantic Theory (MIDST) has proposed the knowledge representation language Lmd for facilitating intuitive humansystem interaction in the real world. The Lmd has employed the 'tempo-logical connectives (TLCs)' to represent both temporal and logical relations between two events, and the 'temporal conjunctions', a subset of TLCs, have already been applied to formulating natural event concepts, namely, those represented in natural language. This paper presents the theory of TLCs extended for formalizing natural spatiotemporal knowledge in general in order to facilitate intuitive human-system interaction such as comprehensible communication in natural language between ordinary people and home robots.