1. A personal emotion-based cognitive assistant system comprising: at least one mechanism configured to capture, in real time, data about an environment comprising synchronized visual and audio information observed by a user; at least one sensor configured to capture an emotional state of the user corresponding to the captured synchronized visual and audio information; a processor configured to identify personal meaning of the environment of the user based on the captured emotional state; and a memory configured to store the identified personalized meaning with data about the environment in different areas of the memory based on the identified personal meaning, wherein the identifying of the personal meaning of the environment by the processor comprises: filter, detect, and identify instinct emotional signals of the user towards the stored captured synchronized visual and audio information based on the captured emotional state of the user and distinctive instinct reference signals stored in a database; identify the personal meaning of the environment, which is an instinct emotional code based on the identified corresponding instinct emotional signals, wherein the identified corresponding instinct emotional code embodies distinctive identified discriminations between components of the identified corresponding instinct emotional signals and the distinctive instinct reference signals, and generate a cognitive module by synthesizing the identified corresponding instinct emotional code with the corresponding stored captured synchronized visual and audio information, wherein the different areas of the memory are logically partitioned such that the different areas correspond to the distinctive instinct reference signals, which represent distinctive domains of a human instinct memory.