exponential number of possible patterns. A greater number of possible patterns is equivalent to a greater number of possible physical values to be controlled. In other words, can be or build representations of a greater number of systems. Also a greater number of controlling patterns is compatible with a better controlling probability. And mainly, the neural connectionist and artificial intelligence models fits exactly this cognitive pattern recognition definition. 

By this criterion the lever is too simple to be considered a cognitive pattern recognition mechanism as it does not have learning and processing like functions. Also, the immune system, even having some learning and memory capabilities, can not be considered a cognitive pattern recognition system because it does not exhibit a mechanism to relate different or previous antibody-antigen patterns in a combinatorial processing scale, according to the standard model of immunological systems. 

Many other cognitive science related concepts can have a formal physical and a cognitive definitions. Physical activity can be defined as physical values changes, and activity in real physical systems generally occurs with a dynamic chain or flow of activities, which is the same as to say that physical values changes causes a chain of physical values changes in many physical systems. Physical behavior can be defined as physical activity, and many physical systems of cognitive interest are structured as a combination of small active systems which sum interactions, such as a net force, that is analogous to the concept of control or pattern recognition. This is to argue that variations of equivalent physical and cognitive definitions can be proposed to this area. 

A generalization of the physical pattern recognition concept to a more familiar cognitive concept is that **physical quantities can be called properties**. So a simple cognitive pattern recognition definition useful to apply to most related scientific areas, as shown in Table 1 and Figure 1 bellow, is: 

## Pattern Is A Set Of Identifiable Properties Of A System. Pattern Recognition Is The Process Of Properties Identification.

Further in the philosophic discussion (section 7) we propose that every human concept is a set of properties, then a set of patterns. 

Table 1. Definitions of cognitive pattern and pattern recognition concepts as a property concept. 

| SCIENTIFIC AREA   | PATTERN DEFINITION                  | PATTERN RECOGNITION  DEFINITION         |
|-------------------|-------------------------------------|-----------------------------------------|
| Physics           | set of identifiable properties of a | event of identification of a pattern by |
| physical system   | a pattern recognition mechanism     |                                         |
| NEUROBIOLOGY      | set of properties of active neural  | activation of neural cells or synapses  |
| cells or synapses |                                     |                                         |
| Cognitive Science PHILOSOPHY                   | concepts properties definitions     | recognition of concepts properties      |
| MATH, COGSCI (AI, | a set computable properties         | functional or computational             |
| Neural Nets )     | association of properties           |                                         |
| PSYCHOLOGY        | set of behavioral properties        | recognition of behavioral properties    |

In Table 1 and Figure 1, the Neurobiology, AI and Neural-network definitions and mechanisms are suggested according to the dominant scientific interpretation of the 