ai-for-multidisciplinary-application.hashnode.dev10. Problem Solving AgentsBy seeing tis example below, Imagine you are a tourist in Romania. You are standing in the city of Arad, and you must reach Bucharest to catch your flight tomorrow morning. You can go to Sibiu, Zerind, or Timisoara — but which road will get you to B...4d ago·3 min read
ai-for-multidisciplinary-application.hashnode.dev9.5 Agent TypeAlright, so our Utility-Based Agent is already quite smart — it knows what makes it “happy” and chooses the best action accordingly. But… what if one day, the environment changes? Imagine thisYour Google Maps says, “Take a left for the fastest route....Feb 12·4 min read
ai-for-multidisciplinary-application.hashnode.dev9.4 Agent TypeSo far, our Goal-Based Agent sounds pretty smart, right?It knows what it wants (the goal) and plans how to get there. But wait… what if the agent has two different ways to reach the same goal? For example —Imagine you (the agent) want to go to colleg...Feb 12·4 min read
ai-for-multidisciplinary-application.hashnode.dev9.3 Agent TypesGoal-Based Agent From Remembering to Dreaming — Meet the Goal-Based Agent! So far, we’ve met two types of agents: One that reacts instantly like a robot with no memory (Simple Reflex Agent). Another that remembers what just happened (Model-Based Ag...Feb 12·3 min read
ai-for-multidisciplinary-application.hashnode.dev9.2 Agent TypeModel-Based Reflex Agent So far, we saw how a Simple Reflex Agent works — quick, but a bit forgetful! It reacts instantly but has no memory and no sense of what happened before. Imagine if your vacuum robot cleans the same spot again and again becaus...Feb 12·4 min read
