Written by Justin Osborne, Contributing Writer, Classical Wisdom

Whenever you surf the Internet, you‘re likely to bump into chatbots powered by artificial intelligence (AI). They serve all sorts of purposes: to provide website guidance, pinpoint products, answer your questions, and much more.

Chatbots are reportedly capable of answering 80% of standard questions. Research shows that nearly 70% of consumers prefer to use chatbots because they allow them to communicate quickly with a brand or company. Finally, 90% of companies report faster complaint resolution with chatbots.

But did you know that we probably wouldn’t even have chatbots were it not for Aristotle?

That’s right: modern technology owes a lot to the ancient rules of logic. Here’s why…

What’s A Chatbot?

Before we delve deeper into the topic, we need to explain what a chatbot is. By definition, a chatbot is a computer program that simulates human conversation through voice commands or text chats, or both.

There are several types of chatbots in use today, but it is the most complex one – AI-driven chatbots – which owe a large debt to the ancients. AI-driven chatbots use multiple techniques to analyze and resolve user inquiries using language processing, rules and machine learning, As such, they are able to contextualize conversations and identify customers’ specific needs and interests.

Their functionality is based on a few key principles of Aristotelian logic more than 20 centuries old. What are these key principles? Keep reading to learn more about it!

Roman copy in marble of a Greek bronze bust of Aristotle by Lysippos, c. 330 BC, with modern alabaster mantle

How Formal Logic Powers AI-Based Chatbots

Aristotle was the first to formally identify and organize the rules of logic in the fourth century BC. In his pivotal work, Organon, Aristotle says a conclusion can be derived from a group of mutually corresponding premises.

Called a syllogism, this represents a logical argument based on deduction. The other two forms of formal logic are induction and abduction. All three types are in contrast with purely mathematical principles of logic.

The reason for this is simple – purely mathematical logic rarely ever applies to human interactions, so it’s better to use principles that reflect everyday conversations between people. These principles – taken from Aristotle – developed into term logic, a system that takes into account the context of the conversation and adjusts to a given communication pattern.

The fundamental assumption behind term logic theory is that we use words to make a point — in term logic this is called a “proposition” — which, in turn, be considered true or false. The system works to discern the veracity of simple statements based on various factors.

For example, formal logic could claim something like this:

• All dogs are animals → All dogs have four legs → All animals have four legs

The example is very simple, but it shows how formal logic can sometimes mislead chatbots. In term logic, such inconsistencies are less likely because both fallible and infallible reasoning are taken into account when a statement is evaluated.

Image source: The Atlantic

Such a system can perform all three types of conclusion-making processes: deduction, induction, and abduction. But once the first step is done, an AI-powered chatbot has to evaluate the truth value of each statement in order to identify which answer is best-suited to a given conversation.

The latest AI-based platforms react like human beings because of how they assess and respond when communicating. The response they judge the most natural and logical (via algorithms, of course) then becomes the answer to the user’s inquiry.

Bearing in mind that chatbots contain massive data libraries, it is clear that the system can almost instantly process and analyze millions of different terms and factor them into an ongoing conversation. As the result, chatbots can quickly come up with an answer that seems to be most logical in a given situation.

The Bottom Line

Chatbots have taken the online world by storm in the last few years, but it turns out that their roots go back all the way to Ancient Greece and Aristotle. In this article, we explained how Aristotle’s rules of logic make AI more human.

Have you ever talked with a chatbot? Did you like the answers? Tell us about your experiences in the comments below!

Justin is a blogger from Leicester, England, UK. He enjoys sharing his thoughts and opinions about education, writing for academic writing help and scholarship essay writing service.