AI software creates mechanical intelligence and thinking. Most available software is for chat bots, but other types exist for task scheduling and entertainment. Emotional leniency and learning rates vary, and teaching the program is necessary for software without initial rules.
Artificial intelligence (AI) software is a type of program that creates and represents mechanical intelligence and thinking. As of 2011, much of the available AI software is used to create online bots for chatting purposes, but every bot is different. The user should get software that meets his needs for an AI system, for example for friendly conversation or for business purposes. Software with high learning rates, rather than one that only imitates thinking, will usually be better because the program can evolve according to the user’s specifications.
Most of the available AI software is made for chat bots, but other types are available for task scheduling and other uses. Also within these categories are sub-categories, such as chat bots and artificial intelligence programs that are made to be completely malleable and specific to business or entertainment. The user needs to get an AI software that matches his requirements.
AI software built for a particular type of user or industry usually comes preloaded with the answers, but it can have an emotional leniency that makes the program work better for the user’s needs. Emotional leniency refers to how the program responds and uses its words to create an impartial or happy or sad response. An AI system with the appropriate emotion, where the user can change the emotional response, will be better. Preloaded responses can often be modified or can evolve, based on user participation.
Each type of AI software has a different learning rate, although some may have no learning rate at all. An AI program with no learning rate may look bad but, if the user doesn’t want the program to learn so-called bad habits, then it might be beneficial to have a program that can respond without changing the responses based on common user input. A program with a high learning rate will be able to evolve and be able to take over the user’s behavior. For the purpose of teaching the program or updating it to respond to new situations, a higher learning rate will be beneficial.
If AI software is made without initial rules and paradigms, then it must be taught to think. This means that, initially, the AI can return embarrassing answers to questions or statements. This type of software can be modeled into anything, but the user must be willing to take the time to teach the program. Teaching a program is rarely about coding; it’s more about talking to the program until it learns the appropriate responses.
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