ABSTRACT
This chapter talks about the presentation of guiding examples from the application areas of stochastic processes. The selected topics include a variety of effects in population dynamics, reinforcement learning and its unusual traps, and ruin models. In behavioral psychology, there are two types of reinforcement, namely the positive and the negative reinforcement. Both reinforcement processes increase the likelihood that some positive or negative behavior associated with a favorable or non-favorable outcome occurs more frequently. In computer sciences reinforcement learning models are reward-based control algorithms. Kevin Mitnick, and his friend Tsutomu Shimomura sent a communication request to a Transmission Control Protocol (abbreviated TCP) in Illinois to communicate with a computer on internet. They know that TCP is simply a transmission layer with an architecture that is free of any security feature, but it includes several congestion algorithms to control the number of packets that can be transmitted safely. Finally, some internet traffic architectures are related to piecewise deterministic processes.
