Despite developments in neuroscience, consciousness is unidentified in the brain. Moreover there is no scientific definition of what it is or does. This paper proposes that consciousness is not a scientific category. However, by 'postulating' consciousness as self-explanation, the brain can communicate with other brains in collective action. But the brain can generate a more plausible self-description as brainsign. There are two foundational tenets. (1) Brain-sign arises from the brain's interpretation of its causal orientation towards the world at each moment, and is 'apparent' as the world; and (2) It facilitates communication between brains about the world in collective action which is uncertain or imprecise. It is therefore grounded in the brain's bio-physical operation. Signs are ubiquitous bio-physical states, but they are not causal for the hosting organism. The paper contrasts brain-sign with consciousness both as theory, and in empirical findings. Brain-sign is the source of all theories, including itself.

In today's paradigmatic climate, the possibility of knowledge, and therefore science, still depends upon our being conscious. However, no scientifically accepted account of consciousness exists. In recent years I have developed the theory of brain-sign which replaces consciousness as a wholly physical neural condition. The first tenet is that the brain is a causal organ, not a knowledge organ. The second is that brain-sign, used in inter-neural communication for uncertain or imprecise collective action, derives at each moment from the causal orientation of the brain. Signs are ubiquitous bio-physical entities. Thus there is no problematic dualism, consciousness and world. We now have two accounts of the brain phenomenon. The first (consciousness) is an inexplicable physical anomaly. The second (brain-sign) belongs in the physical universe, and fulfils a crucial neurobiological function. With brain-sign theory we even 'discover' that we do not know we are alive or will die.

No abstract

No abstract

Clustering in the key set is decreased by smoothing the key-to-address transformation, and by adding shadow buckets to an open chaining file. The keys are pre-hashed before the address division, to remove the effect of sequential properties in the key set. Shadow buckets in the key search sequence reduce the effect of nonuniformity in file loading, and decrease the number of maximum probes needed to locate a record. The combined effects of these techniques lead to improved file performance for secondary storage devices, as shown by empirical studies.