This paper investigates adaptive streaming codes over a three-node relayed network. In this setting, source node transmits sequence of message packets to destination with help relay. The source-to-relay and relay-to-destination links are unreliable introduce at most N <sub xmlns:xlink="http://w...

Abstract Computational modeling of neurodynamical systems often deploys neural networks and symbolic dynamics. One particular way for combining these approaches within a framework called vector architectures leads to automata. Specifically, automata result from the assignment symbols symbol strings numbers, known as Gödel encoding. Under this assignment, computation becomes represented by traje...

One of the weak points of the present critics of AI is their lack of an alternative cognitive theory. In the paper the outline of such a theory is sketched, based on (one reading) of Piaget's genetic epistemology. This is used to clarify the ambiguity of the terms 'symbol' and 'representation', thereby making it possible to suggest a reconciliation of the positions of the critics and defenders ...

One key technique for improving the coding efficiency of H.264, the state-of-the art video compression standard, is the entropy coding technique known as contextadaptive binary arithmetic coder (CABAC). However, the complexity of the encoding process of CABAC is significantly higher than the traditional table driven entropy encoding schemes such as Huffman coding. CABAC is also bit serial and i...