👉 Monkey computing is an approach to artificial intelligence and machine learning that involves using a group of diverse, loosely connected agents or "monkeys" to solve complex problems. These monkeys operate independently and communicate through simple signals, mimicking the natural behavior of primates in the wild. Each monkey focuses on a specific aspect or sub-problem, leveraging its unique expertise and knowledge base to contribute to the overall solution. This decentralized method allows for parallel processing, robustness against individual failures, and adaptability to dynamic environments. By aggregating the outputs and insights from these monkeys, a more comprehensive and effective solution emerges, often outperforming traditional centralized AI systems.
