How do we make meaning of our experience in the world? How could artificial agents make meaning of their "experience"?
A constructivist or developmental approach to building intelligent systems emphasizes the role of incremental and continuous learning. Instead of an inbuilt (pre-programmed) knowledge/ontology, the systems are endowed with learning capabilities that allow them to acquire/construct representation of knowledge relevant to their goals during their lifetime (run-time). This approach is especially suitable for tasks in open and dynamic environments (virtual or real) with characteristics that cannot be exhaustively captured at design-time.
In my talk, I will present a semantic framework based on so-called distinguishing criteria that represent meanings of different types - objects, properties, relations, changes, situations and events, along with several computational models of their autonomous acquisition:
Last modified: Tuesday, 03-Mar-2009 10:58:22 NZDT
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