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The new agent system

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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