WELCOME INKSFAMILY HOW WAS YOUR DAY, MINE WAS SPLENDID BUT STRESSFUL, YOU KNOW IT’S NOT EASY TRYING TO BE AN INDEPENDENT WOMAN, NOT JUST AN INDEPENDENT WOMAN BUT A WOMAN WITH A DIFFERENCE. KODUS TO ALL THE GREAT WOMEN OUT THERE, WE CELEBRATE YOU.

WE STARTED A SERIES ON ARTIFICIAL INTELLIGENCE A WEEK AGO, AND TODAY WE WILL BE LOOKING AT IT FROM THE AGENT PERSPECTIVE

SIMPLE REFLEX AGENTS

• SIMPLE REFLEX AGENTS TAKE DECISIONS ON THE BASIS OF THE CURRENT PERCEPTS AND AVOID THE REST OF THE PERCEPT HISTORY IT HAS A LIMITED INTELLIGENCE, THAT IS, ITS AUTONOMOUS PERFORMANCE IS LOW

MODEL-BASED REFLEX AGENT

MODEL-BASED AGENTS WORK IN A PARTIALLY OBSERVABLE ENVIRONMENT, AND TRACK THE SITUATION.

IT HAS TWO IMPORTANT FACTORS:

○ MODEL: CONTAINS KNOWLEDGE ABOUT “HOW THINGS HAPPEN IN THE WORLD?”.

○ INTERNAL STATE: A REPRESENTATION OF THE CURRENT STATE BASED ON PERCEPT HISTORY

ITS AUTONOMOUS CAPACITY IS AVERAGE

GOAL-BASED AGENTS

● GOAL-BASED AGENTS EXPAND THE CAPABILITIES OF THE MODEL-BASED AGENT BY HAVING THE “GOAL” INFORMATION.

● GOAL-BASED AGENTS ARE PROACTIVE AGENTS.

● THEY ARE GENERALLY CLASSIFIED AS:

○ PROBLEM-SOLVING AGENTS

○ PLANNING AGENTS

ITS AUTONOMOUS CAPACITY IS GOOD.

THE TERM GOAL, SHOW IT IS DESIGNED TO ACHIEVE A PARTICULAR GOAL

EXAMPLE: CALCULATOR

UTILITY-BASED AGENT

● UTILITY-BASED AGENTS ARE SIMILAR TO THE GOALBASED AGENTS BUT PROVIDE UTILITY MEASUREMENT THAT MAKES IT DIFFERENT.

● UTILITY-BASED AGENTS NOT ONLY DEPEND ON GOALS BUT ALSO CONSIDER THE BEST WAY TO ACHIEVE THESE GOALS.

● THE UTILITY-BASED AGENT IS USEFUL WHEN THERE ARE MULTIPLE POSSIBLE ALTERNATIVES, AND THE AGENT HAS TO CHOOSE ONE IN ORDER TO PERFORM THE BEST ACTION.

● UTILITY FUNCTION MAPS EACH STATE TO A REAL NUMBER TO CHECK HOW EFFICIENTLY EACH ACTION ACHIEVES THESE GOALS.

IT IS ONE OF THE BEST AGENT COMMONLY USED FOR AUTOMATED MACHINES, AS A RESULT OF ITS CAPACITY TO CARRY OUT DIFFERENT TASK ON ITS OWN.

LEARNING AGENT

Just as Human beings learn from their past mistakes and experience, there is a type of intelligent agent that learn also from its past mistakes and experience to perform better.
Example, AUTO CORRECTION IN TYPING.

A LEARNING AGENT IS THE AGENT THAT LEARNS FROM ITS PAST EXPERIENCES.

● IT STARTS TO ACT WITH BASIC KNOWLEDGE AND IS ABLE TO ACT AND ADAPT AUTOMATICALLY THROUGH LEARNING.

• LEARNING AGENTS ARE ABLE TO LEARN, ANALYZE PERFORMANCE, AND FIND OUT NEW WAYS TO IMPROVING THE PEOPLE.

Inksupdate team.

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