Knowledge Representation & Reasoning
səhifə 6/8 tarix 25.12.2023 ölçüsü 19,34 Kb. #194716
901470 Chap1
Knowledge Representation & Reasoning The second most important concept in AI If we are going to act rationally in our environment, then we must have some way of describing that environment and drawing inferences from that representation. how do we describe what we know about the world ? how do we describe it concisely ? how do we describe it so that we can get hold of the right piece of knowledge when we need it ? how do we generate new pieces of knowledge ? how do we deal with uncertain knowledge ?
Declarative knowledge deals with factoid questions (what is the capital of India? Etc.) Procedural knowledge deals with “How” Procedural knowledge can be embedded in declarative knowledge Planning Given a set of goals , construct a sequence of actions that achieves those goals: often very large search space but most parts of the world are independent of most other parts often start with goals and connect them to actions no necessary connection between order of planning and order of execution what happens if the world changes as we execute the plan and/or our actions don’t produce the expected results? Learning If a system is going to act truly appropriately, then it must be able to change its actions in the light of experience: how do we generate new facts from old ? how do we generate new concepts ? how do we learn to distinguish different situations in new environments ? In order to enable intelligent behaviour, we will have to interact with our environment. Properly intelligent systems may be expected to: accept sensory input interact with humans understand language, recognise speech, generate text , speech and graphics, … modify the environment Dostları ilə paylaş:
