A constructive memory agent (CMA) is an autonomous software unit that uses its interactions not only

A constructive memory agent (CMA) is an autonomous software unit that uses its interactions not only
A constructive memory agent (CMA) is an autonomous software unit that uses its interactions not only to change its data (“memory”) but also its fundamental indexing systems for that data (“structure”). The article “Understanding Behaviors of a Constructive Memory Agent: A Markov Chain Analysis” (Knowledge-Based Systems, 2009: 610–621) describes a study of one such CMA as it moved between nine different stages of learning. (Stage 1 is sensation and perception; later stages add on other behaviors such as hypothesizing, neural network activation, and validation. Consult the article for details.) The accompanying state diagram mirrors the one given in the article for the authors’ first experiment (a)Construct the transition matrix for this chain.    (b) What are the absorbing states of the chain? (c) All CMA processes begin in stage 1. What is the mean time to absorption for such a process? Here, “time” refers to the number of transitions from one learning stage to another. [Note: In this particular experiment, absorbing states correspond to any instance of so-called “inductive” learning.] (d) Starting in stage 1, what is the probability a CMA will end the experiment in state 8 (constructive learning plus inductive learning)? Apr 08 2022 03:26 PM