What can ontologies do for robot design?
Ontologies, in a computational sense, are formal and explicit specifications of conceptualizations [9] and provide enough concepts and relations to articulate models of specific situations in a given domain.
What’s the opposite of ontology?
“Ontology, by definition, is the science of being; more specifically, the construction of a world that is presumed to exist without its observers or constructors. By contrast epistemology is the science of knowing. An objectivist epistemology studies how the human mind comprehends or accurately represents ontology.
What are ontologies good for?
In a nutshell, ontologies are frameworks for representing shareable and reusable knowledge across a domain. Their ability to describe relationships and their high interconnectedness make them the bases for modeling high-quality, linked and coherent data.
What is the importance of ontology?
Ontology helps researchers recognize how certain they can be about the nature and existence of objects they are researching. For instance, what ‘truth claims’ can a researcher make about reality?
What is the purpose of ontology?
What is the difference between epistemology and ontology?
Epistemology is the branch of philosophy that studies knowledge or knowing.It is the knowledge to examine reality. Ontology is the branch of philosophy that studies the nature of human beings existence as individual, in society and in the universe.
Where does the term ontology come from in AI?
The term is borrowed from philosophy, where an Ontology is a systematic account of Existence. For AI systems, what “exists” is that which can be represented. When the knowledge of a domain is represented in a declarative formalism, the set of objects that can be represented is called the universe of discourse.
Is the ontology based on the knowledge level?
the ontology. The idea of ontological commitments is based on the Knowledge-Level perspective (Newell, 1982). The Knowledge Level is a level of description of the knowledge of an agent that is independent of the symbol-level representation used internally by the agent. Knowledge is attributed to agents by observing
Why do we use common ontologies to describe a set of agents?
We use common ontologies to describe ontological commitments for a set of agents so that they can communicate about a domain of discourse without necessarily operating on a globally shared theory. We say that an agent commits to an ontology if its observable actions are consistent with the definitions in the ontology.
What does it mean to commit to an ontology?
Practically, an ontological commitment is an agreement to use a vocabulary (i.e., ask queries and make assertions) in a way that is consistent (but not complete) with respect to the theory specified by an ontology. We build agents that commit to ontologies.