![]() A coach has a detailed model of each team player’s personality. All the individuals in the meeting will have slightly different contexts and objectives.įig 1. For example, this could be a meeting of a school sports team and their coach before an important game or match. To better understand how simulation is relevant to human cognition, consider a situation commonly encountered by humans - a meeting of a medium-sized group of individuals. Simulation uses a specialized model to mimic real or proposed system operations to provide evidence for decision-making under various scenarios or process changes. Here, we define simulation as a method that uses a specialized model to mimic real or proposed system operations to provide evidence for decision-making under various scenarios or process changes. To ground the discussion below, we need to start with a definition of simulation in the context of this discussion. ![]() As such, it has the potential to impart multiple “models of mind” during the machine learning process and advance the next generation of AI. This type of computation seeks to iteratively resolve problems based on inputs from multiple agents (humans or other AIs) which is characteristic of more real-world learning. ![]() I believe that it can play an even more purposeful role if expanded to include agent-based simulation at inference time. ![]() We are about to see a significant change in the role of simulation to evaluate real-time what-if scenarios in materializing machine intelligence. Image credit: Local_doctor via Adobe Stock. ![]()
0 Comments
Leave a Reply. |