This is also relevant to their use in inferential patterns.<\/strong><\/p>\n\n\n\n One example are mental-neuronal patterns in humans<\/a>.<\/p>\n\n\n\n However, the muddy underlying reality becomes especially apparent when trying to realize them in an A.I. environment, where it\u2019s relevant to anything related to learning and intelligence. A proper balance is mandatory:<\/p>\n\n\n\n Efficiency also plays a role. Without accepting some level of bias, one can become unremittingly bogged down in an overflow of details. See also Bias is Our Thinking<\/a>.<\/p>\n\n\n\n The daily life use of the term \u2018concrete\u2019 is mostly meant at a level in-between.<\/strong><\/p>\n\n\n\n It\u2019s what captures the daily mind most immediately. Thus, \u2018concrete\u2019 is used here as a relative concept \u2014 relative to the observer and, one can say, also to the circumstances.<\/p>\n\n\n\n To complicate matters, \u2018concrete\u2019 can in this sense denote something more abstract than the very concrete itself. This is a pragmatic issue. Of course, being pragmatic, it\u2019s also most realistically valuable. In any case, one needs to search an optimal level of abstraction.<\/p>\n\n\n\n AURELIS<\/strong><\/p>\n\n\n\n Note that AURELIS emphasizes the importance of both the conceptual (abstract) and the subconceptual (concrete) layers of experience. This dual approach allows for a more Compassionate interaction with oneself, where the individual is not just a passive recipient of information but an active participant in shaping his mental processes.<\/p>\n\n\n\n