Artificial Intelligence Tutorial

Introduction to Artificial Intelligence Intelligent Agents

Search Algorithms

Problem-solving Uninformed Search Informed Search Heuristic Functions Local Search Algorithms and Optimization Problems Hill Climbing search Differences in Artificial Intelligence Adversarial Search in Artificial Intelligence Minimax Strategy Alpha-beta Pruning Constraint Satisfaction Problems in Artificial Intelligence

Knowledge, Reasoning and Planning

Knowledge based agents in AI Knowledge Representation in AI The Wumpus world Propositional Logic Inference Rules in Propositional Logic Theory of First Order Logic Inference in First Order Logic Resolution method in AI Forward Chaining Backward Chaining Classical Planning

Uncertain Knowledge and Reasoning

Quantifying Uncertainty Probabilistic Reasoning Hidden Markov Models Dynamic Bayesian Networks Utility Functions in Artificial Intelligence

Misc

What is Artificial Super Intelligence (ASI) Artificial Satellites Top 7 Artificial Intelligence and Machine Learning trends for 2022 8 best topics for research and thesis in artificial intelligence 5 algorithms that demonstrate artificial intelligence bias AI and ML Trends in the World AI vs IoT Artificial Intelligence in Social Media Artificial Intelligence in Transportation Disadvantages of Artificial Intelligence in Education Flowchart for Genetic Algorithm in Artificial Intelligence IEEE Papers on Artificial Intelligence Impact of Artificial Intelligence On Everyday Life Impact of Artificial Intelligence on Jobs Interesting Facts about Artificial Intelligence Siri Artificial Intelligence Artificial intelligence assistant operating system Best Books to learn Artificial Intelligence 6th Global summit on artificial intelligence and neural networks Acting Humanly in Artificial Intelligence Artificial Intelligence in Pharmacy Artificial Intelligence in Power Station Artificial Intelligence in Supply Chain Management Artificial Intelligence Interview Questions and Answers Artificial Intelligence Jobs in India For Freshers Artificial Intelligence Painting Artificial Intelligence PNG Images Certainty Factor in AI Essay on Artificial Intelligence Upsc Hill Climbing in Artificial Intelligence Machine Learning and Artificial Intelligence Helps Businesses Operating System Based On Artificial Intelligence Skills Required for Artificial Intelligence Temporal Models in Artificial Intelligence Water Jug Problem in Artificial Intelligence Certainty Factor in Artificial Intelligence Vacuum Cleaner Problem in Artificial Intelligence What is Logic in Artificial Intelligence Artificial Communication Engineering Applications of Artificial Intelligence Types of Agents in Artificial Intelligence which-language-is-used-for-artificial-intelligence Artificial Intelligence in Agriculture Importance of Artificial Intelligence Logic in Artificial Intelligence What is Inference in AI Artificial intelligence in Broadcasting Artificial intelligence in insurance industry AI in Manufacturing Conference AI in PR AI Vs Big Data Career Salary Of AI Engineer in US Temporal Models in Artificial Intelligence Which is Better Artificial Intelligence and Cyber Security Inference in Artificial Intelligence The Role of aiml in Transforming Customer Support AI in Medicine Examples of Artificial Intelligence Software Interrupt in CPI How can we Learn Artificial Intelligence Physics in Artificial Intelligence Artificial Intelligence and Robotics History And Evolution of Artificial Intelligence Objective of Developing Artificial Intelligence Systems Agent Environment in AI Choose the Optimal Number of Epochs to Train a Neural Network in Keras Difference between Backward Chaining and Forward Chaining Difference between Feed Forward Neural Networks and Recurrent Neural Networks Means Ends Analysis in Artificial Intelligence Mini Max Algorithm in Artificial Intelligence Multi Layer Feed Forward Neural Network Reasoning in Artificial Intelligence Search Algorithms in Artificial Intelligence Turing Test in AI Issues in Design of Search Problem in Artificial Intelligence Markov Network in Artificial Intelligence Ontology in Artificial Intelligence Opportunities in Artificial Intelligence Research Center For Artificial Intelligence Scope of Artificial Intelligence And Machine Learning AI ML in India Uniform Cost Search Algorithm in Artificial Intelligence Cryptarithmetic Problem Dynamic Routing Artificial Intelligence Technologies In 2020 Gradient Descent Neural Networks Natural Language Processing Information Retrieval Unsupervised Learning In Ai Reinforcement Learning In Ai Integration of Blockchain and Artificial Intelligence Artificial Intelligence vs Machine Learning Difference between Machine Learning and Artificial Intelligence Alexnet in Artificial Intelligence Googlenet in Artificial Intelligence Rnn for Sequence Labeling Statistical Machine Translation of Languages in Artificial Intelligence Top 5 Best Programming Languages for Artificial Intelligence Field Transfer Learning in Artificial Intelligence What is Openai Who Invented Artificial Intelligence Approaches of Artificial Intelligence Artificial Intelligence in Banking Artificial Intelligence Techniques

The Wumpus World

The Wumpus world is a game playing which provides an environment to the knowledge-based agent to showcase its stored knowledge. It was developed by Gregory Yob in 1973.

About the game: 

  • It is a single-player game.
  • It is a cave consisting of rooms which are connected with one-another via passways.
  • There is a beast or monster in the game named Wumpus, lurking somewhere the cave.
  • Wumpus eats everyone who tries to enter the cave.
  • The player needs to kill the Wumpus.
  • The player has only one arrow to shoot out the monster.
  • There are some rooms containing bottomless pits which may trap anyone whoever wanders in the room.
  • The goal of the game is to search for a heap of gold.
The Wumpus World

PEAS Description of the Wumpus World

  • Performance Measure: The player is awarded with the following utilities:
  • (+1000): It is for coming out of the cave safely with the gold.
  • (-1000): It is for falling into the pit or if eaten by the Wumpus.
  • (-1): It is for each action taken by the player.
  • (-10): It is for raising the arrow up.

The game ends if the player comes out of the cave safely or dies.

1) Environment: The environment provided in the Wumpus world is as follows:

  • It is a 4X4 grid of rooms.
  • The player always starts in the square labeled [1,1] and facing towards the right.
  • Location of the monster and the gold is choosen randomly in a uniform distribution.
  • Remember, the location chosen will never be the starting point.
  • Each square room other than the starting one can be a pit with 0.2 probability.

2) Actuators: The player performs the following actions:

  • The agent can move forward or TurnLeft by 900 and TurnRight by 900.
  • The player dies if he enters a room having a pit or alive monster. It is safe to enter the room if the Wumpus is dead.
  • If the player will try to move forward and bumps into the wall, then the player will not move.
  • Using the action Grab, the player can pick up the gold in the same room.
  • Using the action Shoot, the player can shoot the monster with the arrow. Either the arrow will shoot the  monster or will hit on the wall.
  • The action Climb is used to come out of the cave but only from the square [1,1].

3) Sensors: The player is provided with five sensors, which gives a single bit of information:

  • The player will perceive a Stench, if Wumpus is present in the room which is directly adjacent to the player.
  • The player will perceive a Breeze, if in the square is directly adjacent to the pit.
  • The player will perceive a Glitter, if in the square gold is present.
  • The player will perceive a Bump, when the player walks into the wall.

When the player will shoot out the monster, it will emit a scary Scream which can be heard/perceived from anywhere in the cave.

Modern technologies use The Wumpus World technique for developing new trending games.