Sergio Pissanetzky

Learn More
The ability of the brain to organize information and generate the functional structures we use to act, think and communicate, is a common and easily observable natural phenomenon. In object-oriented analysis, these structures are represented by objects. Objects have been extensively studied and documented, but the process that creates them is not(More)
– The recently introduced Matrix Model of Computation in its imperative form (iMMC) can perfectly represent any finite physical system. A new canonical form (cMMC) is introduced. The iMMC is sequential, highly structured, and object-oriented, and saves resources by reusing them heavily. Software and other models convert easily to iMMC and viceversa. The(More)
The Matrix Model of Computation (MMC) is a new Turing-complete virtual machine that serves as a formal container for the structural representation and analysis of systems, and finds applications in diverse areas such as Business, Software Engineering and Theoretical Physics. The MMC is a unifying notion in Systemics. It allows uniform, interoperable(More)
Many tools that analyze, refactor or otherwise evolve source code use ad-hoc, task-specific representations because the detailed information they need is hidden in the code and difficult to extract and organize. This leads to limited capabilities and interoperability. To address the problem, we propose the Relational Model of Computation (RMC), a(More)
The Matrix Model of Computation (MMC) is a new Turing-equivalent and Deutsch-equivalent virtual machine used for the mathematical analysis of systems. The importance of the MMC stems from the fact that it allows uniform techniques to be applied to all kinds of systems and makes them amenable to formal mathematical manipulation. But the strength of the MMC(More)
The recently introduced Turing-complete Matrix Model of Computation (MMC) is a con-nectionist, massively parallel, formal mathematical model that can be set up as a network of artificial neurons and represent any other ANN. The model is hierarchically structured and has a natural ontology determined by the information stored in the model. The MMC is(More)
e n t s (c o n s t V e c t o r 3 & o t h e r. c o m p o n e n t s [ 0 ] ; o t h e r. c o m p o n e n t s [ 1 ] ; = o t h e r. c o m p o n e n t s [ 2 ] ; / / S e t C o m p o n e n t s — — — — — — — — — — — — — — – g l e (c o n s t V e c t o r 3 & q) { n g l e b e t w e e n t h i s a n d q (r a d i a n s , r a n g e 0 ¡ = a n g l e ¡ = p i). a = D o t V e c(More)