Reactive machines

Concept and definition

Reactive machines

What is Reactive machines?

Reactive machines are artificial intelligence models that continuously interact with their environment, without maintaining an internal representation of it. These models rely on rules and heuristics to make real-time decisions and adjust to changing environmental conditions. Reactive machines are particularly useful in real-time applications, such as robot control systems and autonomous navigation systems, as they can make fast and accurate decisions without the need to process large amounts of data or maintain long-term memory. However, reactive machines are limited in their ability to learn from experience and adapt to new and unfamiliar situations. They are therefore used in combination with other machine learning approaches, such as reinforcement learning and supervised learning, to improve their adaptive and decision-making capabilities.

« Back to glossary

Do you want to get in touch?

CDRs contain data that a telecommunications company collects about phone calls, such as time and length of call. This data can be used in analytical applications.
Fill the form
Share:
The role of machine learning in fraud detection

Machine learning is a branch of artificial intelligence (AI) that is based on making a system capable of learning from the information it receives.

Read More »
Automation and rapid deployments via SaaS

One of the decisions faced by a company that needs an IT infrastructure is the choice of where to locate this infrastructure and where to install it.

Read More »
Clustering for data analysis

Clustering methods, or grouping, are a fundamental part of the data analysis process, since they allow an automatic segmentation of the data [...]

Read More »
Industry 4.0 and its main characteristics

Industry 4.0 or the Fourth Industrial Revolution is based on the integration of digital technologies in the production and processing of goods and services.

Read More »
See more entries
© Gamco 2021, All Rights Reserved - Legal notice - Privacy - Cookies