Information Processing and Causal Inputs in the Human Brain

Information, in a broad sense, is systematic, processed and organized data that is made available for decision-making. It provides context for other data and allows decision making to be done easily. For instance, a single consumer’s sale in a restaurant is information this becomes information when the company is able to accurately identify the least popular or most popular dish served. In addition, information can also be used to provide for better customer service customers do not want to be left in the dark or given conflicting information.

The second component of information processing is associated with formal logic, which is to use information as a formal system of representation. Informative state is a function of an object x, meaning it gives information about an event, while causal input is an action is done by a person, which gives information about an event after it has occurred. Formal logic and information theory are closely related, however; formal logic deals primarily with assignments of sentences to definite forms, while information processing deals mostly with natural language processing. There have been many attempts to connect information processing and formal logic, however; Davidson (1947) formalized the notion of an information processing algorithm as a method of formalizing a set of rules or procedures on which reasoning can be done using an informal set of rules, and Searle (1956) classified some statements as having a greater degree of probability than others on the basis of their grammatical structure.

A number of questions still remain, however, such as how does the conscious mind relate information processing with information and causal inputs, what sort of a hierarchy would constitute the best information processing scheme, what is the relationship between the conscious mind and the unconscious mind, what sorts of things do we need to distinguish between in terms of the overall mental framework and how can the overall mental framework be related to different areas of inquiry, such as what constitutes a pleasant experience for one person, an unpleasant one for another and so forth. It is also hoped that in this paper we will have presented a preliminary overview of the way in which information and causal inputs are processed in the human brain.