👉 Traveler's Computing is a theoretical model in the field of distributed computing and parallel processing, introduced by John Conway in 1975. It conceptualizes how a group of self-replicating agents, or "travelers," can spread and adapt across a shared computational environment to solve complex problems more efficiently than a single agent could. Each traveler operates with a limited set of instructions and interacts with its environment, including other travelers and the computational resources available. The model demonstrates how these agents can evolve over time to optimize their replication strategy, leading to the emergence of sophisticated behaviors and solutions that are often more effective than those designed by a single, centralized entity. This approach has inspired research in areas like distributed algorithms, artificial life, and evolutionary computation, highlighting the potential for decentralized systems to tackle intricate challenges.
