The mathematics of inheritance systems
The mathematics of inheritance systems
SOAR: an architecture for general intelligence
Artificial Intelligence
Parallel computer vision
Semantic Networks: An Evidential Formalization and Its Connectionist Realization
Semantic Networks: An Evidential Formalization and Its Connectionist Realization
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In this paper, we highlight the importance of the integrated perceive-reason-act-learn loop, which appears to be central to intelligence, and describe a system that we are developing to capture this loop. As a first step, the system learns about simple objects, their qualities, and the words that name them and describe their parts and relations. The visual-linguistic associations formed act as a bias in acquiring further knowledge about actions, which in turn aids the system in satisfying its internal needs (e.g., hunger, thirst, sleep, curiosity). We briefly describe the components of the system and discuss some of the salient properties of the CHILDLIKE integrated architecture.