Knowledge Based Agent-Artificial Intelligence-Unit-II-Logical Reasoning

Unit – 2 – Logical Reasoning
Logical Agent – Part-1- Knowledge Based Agent
An agent can represent knowledge of its world, its goals and the current situation.
Logical Agent has a collection of sentences in logic 
By using these logical sentences, the agent decides what to do by inferring knowledge (conclusion(s))
The conclusions are achieved by certain action or set of actions, is appropriate to achieve its goals.
Knowledge and reasoning are important to logical agents because they enable successful behaviors to achieve a desired goal

Knowledge-Based Agents
Central component of a Knowledge-Based Agent is a Knowledge-Base (KB)
KB contains a set of sentences in a formal language
Sentences are expressed using a knowledge representation language

Two generic functions:
TELL - add new sentences (facts) to the KB
“Tell it what it needs to know”
ASK - query what is known from the KB
“Ask what to do next”

The agent must be able to:
Represent states and actions
Incorporate new percepts
Update internal representations of the world
Deduce hidden properties of the world
Deduce appropriate actions
Procedural : Encode desired behaviors directly as program code
Minimizing the role of explicit representation and reasoning can result in a much more efficient system
Declarative : Building Knowledge Base for Agent.
You can build a knowledge-based agent simply by “TELLing” it what it needs to know

Subscribe this channel, comment and share with your friends.
For Syllabus, Text Books, Materials and Previous University Question Papers and important questions
Follow me on
Blog : https://dsumathi.blogspot.com/
Facebook Page : https://www.facebook.com/profile.php?...
Instagram :   / dsumathiphd