M: these are models associated in a direct way with sense organs (M-eyes, M- ears and so on). YM: concept models directly or indirectly associated with different entities of the external reality. ZM: General long-range models. For any external reality, the brain makes one or more ZM-models. They generate the truths, the reality, the knowledge and the consciousness. ZM-models are activated by the associated external reality. There are also ZM- models that are not associated to an external reality (e.g. when we solve a problem of mathematics). Any ZM-model associated to an external reality works in association with some M-models, and also in assocition with any other ZM-model. MZM: this term is not associated with a model, but with a structure of different ZM, YM, ZAM, and AZM models. These models are very often used together. Such a structure is generated by the technological implementation of the brain, and it optimizes the activity of the brain in a section of the external reality. ZAM: these models are long-range models used to modify the external reality. They are artificial models (they are not generated by direct interaction with the external reality) and they are also invariant (they cannot be changed by direct interaction with the external reality). AZM: these models are associated with the organs that can interact with the external reality (hands, legs and so on) in a direct way. XZM: these models are called also "illegal models", because they are not included in the normal structure of models. A normal model is a model for which any prediction is accepted in a harmonic/logic way by any other model of the structure. XZMs are, thus, individual models which have no normal communication with other models. Thus, a brain is not able to detect such models. In some situations, such models can become active and gain control of the being. They can also transmit some information to the normal structure of models. WBAM (would be-active models): such models are artificial models that are generated by a ZM-model. Thus, a ZM-model predicts a situation for which there is no normal model. If a new external reality occurs, and there is no normal model to understand it, the PSM is activated. A ZM-model can make a WBAM- model, based on its predictions, so that, when the new external reality occurs, the ZM will activate that WBAM and so PSM is not activated.