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Technological intelligence designed by humans, displayed through machines instead of humans.  
Intelligent agents - In relation to artificial intelligence, it is the machine or the program that intakes information from its environment and processes that information to achieve certain goals. 

Artificial Intelligence 

There is no exact definition for Natural Language Processing (NLP), but we could catch a glimpse through its goal and academic classification.
- The goal of this field (NLP) is to get computers to perform useful tasks involving human language. (Speech and Language Processing, 2nd edition)
- NLP is an interdisciplinary field of linguistics, computer science, information engineering, electrical engineering, psychology, and artificial intelligence. (Speech and Language Processing, 2nd edition; Wikipedia)

Natural language processing gives a computer the ability to analyze and synthesize human languages. 

Natural language processing

Consider the following scenario: An online retail website uses a system to suggest products to customers. This system tracks which products a user views, which items they add to their cart, and their past purchase history. Based on this data, and data from thousands of other users, the system displays a 'Recommended for You' section on the user's homepage, aiming to increase the likelihood of a sale. 

Analyze this system as an intelligent agent. In your answer, identify its environment, the information it processes, and its primary goal.

Analyzing an Intelligent Agent

Consider a factory's automated sprinkler system. It is equipped with heat sensors. If a sensor detects a temperature above 150°F, it automatically triggers the sprinklers in that specific zone until the temperature drops below 100°F. The system does not learn from past events or adjust its temperature thresholds. Based on the definition of an intelligent agent—a system that perceives its environment and takes actions to achieve specific goals—evaluate whether this sprinkler system qualifies as an intelligent agent. Justify your reasoning.

Evaluating an Automated System

Machine learning is a branch of artificial intelligence focused on building systems that improve their task performance by learning from data or other experience. It draws on ideas from statistics, optimization, and data analysis to make predictions, recognize patterns, and support decisions.

Machine Learning

Artificial intelligence (AI) is applied in agriculture to improve soil management and combat the reduction of farmable land caused by desertification, pollution, and climate change. High-quality topsoil takes centuries to form and depends on complex variables such as climate, parent material, and biological interactions. AI-driven technologies address these challenges by combining computational analysis, genome sequencing, and data science to assess soil health from physical samples. These systems analyze the collected data to provide customized, actionable recommendations that help farmers optimize soil conditions and improve crop yields.

Artificial Intelligence in Agricultural Soil Management

An AI model can screen fishing video and flag segments that may show protected fish or suspicious catch for human review. This human-in-the-loop workflow narrows the footage officers must inspect and is intended to make fisheries monitoring more efficient; the system assists rather than replaces human judgment.

AI-Assisted Video Review for Protected Catch in Fisheries

A smart home thermostat learns the daily routines of a household. It senses when people are home or away, monitors the current indoor and outdoor temperatures, and automatically adjusts the heating and cooling to maintain a comfortable temperature while minimizing energy consumption. Based on the core principles of an intelligent agent, which part of this process best represents the agent's primary 'goal'?

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