knowledge representation

Knowledge representation is an essential problem of symbolic-based artificial intelligence
Knowledge Representation Hypothesis (Smith):
Any mechanically embodied intelligent process will comprise of structural ingredients, that
will represent the propositional account of knowledge the overall process exhibits
independently of such a formal semantics will play formal and causal role in performing the behavior that manifests the knowledge. In symbolic functionalism we represent intelligence via manipulation of our beliefs about the surrounding world and knowledge we know.Therefore we have to address two fundamental issues
- how to represent knowledge
- how to implement the process of reasoning
the State space is a space of possible courses of inference when combining actual beliefs about current world general knowledge rules of inference. Three levels of the Knowledge-based System conceptualization:
system engineering level – physical realization of the system
symbol level – symbol system (program ) specification
knowledge level – knowledge (to be represented) specification

data – primitive verifiable facts, of any representation. Data reflects current world,often voluminous frequently changing.
information – interpreted data
knowledge – relation among sets of data (information), that is very often used for further information deduction. Knowledge is (unlike data) general. Knowledge contains information about behavior of abstract models of the world.

Knowledge Classification:
according to source: empirical, theoretical
according to orientation: domain, heuristic, inference
according to type: declarative, procedural