We are exploring a system, called PROMPT, that wi l l be capable of reasoning from first principles and high level knowledge in complex, physical domains. Such problem-solving calls for a representation that wil l support the different analyses techniques required (e.g. differential, asymptotic, perturbation etc.). Efficiency considerations require that the representation also support heuristic...

Many complex systems are representable as macroscopic sets of elements which interact by simple rules. The complex macroscopically relevant phenomena are then the result of the generic emergence of a space-time multi-scale dynamics. Critical Slowing Down labels the emerging global features and describes their complex collective evolution. This paradigm is quite universal and extends to a very w...

Abstract : In this paper we show that a complex dynamic representation (logenvelope and instantaneous frequency) can be used efficiently to compress the spectrum and band−shift a discrete−time signal. The original method and algorithm conceived here do not violate the amplitude−phase relationships typical of natural sound signals. This is achieved by simultaneous modification via transmapping o...

This paper discusses the representation and explanation of relationships between phenomena that are important in psychiatric contexts. After a general discussion of complexity in the philosophy of science, I distinguish zoomingout approaches from zooming-in approaches. Zooming-out has to do with seeing complex mental illnesses as abstract models for the purposes of both explanation and reductio...

So far, data representation has been based on visuals. The huge size of data verges on overuse of the visual capability. Thus, there is a need to reduce the almost exclusive use of visual techniques to represent data in order to increase our perception bandwidth. In this research, we aim to solve this problem by integrating the audio component. More precisely, we are interested in representing ...

One of the fundamental goals of artificial intelligence is to understand and develop intelligent agents that simulate human-level intelligence. A lot of effort has been made to develop intelligent agents that simulate human learning of math and science, e.g., for use in cognitive tutors. However, constructing such a learning agent currently requires manual encoding of prior domain knowledge for...

Chronicle is a novel open source system for representing structured data involving time, such as music. It offers an XML-based file format, object models for internal representation in various programming languages, and software libraries and tools for reading and writing XML and for data transformations. Chronicle defines basic blocks for representing timebased information using events, a hier...

In this paper we propose a new face recognition system based on a biologically inspired filtering method. Our work differs from previous proposals in: 1) the multistage filtering method employed; 2) the pyramid structure used, and most importantly; 3) the prototype construction scheme to determine the models stored in memory. The method is much simpler than previous proposals and relatively ine...