Evolution of Reward Systems

Employee compensation and reward system has undergone several paradigm shifts since its inception. Incentive systems are traditionally based on compensation and focus on individuals or positions (Beam 1995). After the economic downturn in the early 1980s, the employer moved to a performance-oriented model and still tried to save money while rewarding the best performers (Applebaum & Shapiro, 1992). Today, the most successful organization is a remuneration that helps both employees and organizations achieve their operational goals using an overall compensation model that combines performance-based models and strategic HR management programs We are creating a system.

Our brain 's agent system is shaped by learning in our lives, but the reward system is partly hard - coded and shaped by evolution. The reward system is optimized by Darwin's natural selection process, and individuals with better rewards (ie better strategies) will have increasingly successful descendants. There is a big difference in the time scale for optimizing these two elements. The brain's agent system can be trained / optimized over the lifespan of several years and the reward system takes thousands of years to change. With this design, we can integrate thousands of experiences into the brain, quickly respond to changes in the environment between generations and even throughout the lifetime. It also helps to reduce the amount of behavior that needs to be coded in DNA.

For AI, ignore the edge system and biological system unless it is necessary to generate rewards. These systems derive from their own reward structure based on evolution, such as the necessity of copying, acquiring and processing of calories, and may not be useful for research purposes. Considering fine-grained operation tasks, the performance of AI in sensory and motor control is inferior to that of humans, but considering that autonomous vehicles need sensor input and exercise output, Tesla is better than a human driver on a highway It is 40% safe. . Starting with my own automatic driving car, I proved that they are superior to me in driving.

Experts clearly agree that society recognizes that the world should gradually disappear. It may represent a next generation evolution and recognition system that has already been introduced. In the future, social recognition platform will be the first layer or entry point of future strong collaboration and social strategic tools. These systems will also provide a large amount of data the organization will use and will gradually adjust the identification and reward program for each individual.