One approach is to provide Dynamic Link Libraries (DLLs) which allow Mathematical software to be used from within Excel, Visual Basic, Visual C++, Visual Fortran etc. However, to call a DLL routine directly from Visual Basic requires detailed knowledge of both the routine’s arguments and also the manner in which they are passed to the Visual Basic calling program. It is therefore essential that...

Planning is the art to automatically find solutions to problems where a model of the world is described in terms of variables and actions. A solution to such a planning problem is a sequence of actions (called plan) transforming the initial situation to a state that satisfies a goal description. In classical planning, the world is described by Boolean variables and the field is well studied wit...

We show the architecture and design of a numeric function generator that realizes, at high speed, arithmetic functions, like log x, sin x, 1 x , etc.. This approach is general; different circuits are not needed for different functions. Further, composite functions, like log (sin ( 1 x )) can be realized as easily as individual functions. A tutorial description of the method is presented, follow...

Learning programs that try to generalize from real-world examples may have to deal with many different kinds of data. Continuous numeric data may cause problems for algorithms that search for identical aspects of examples. This problem can be .. . surmounted by categori=ing the nume-ric data. However, this process has problems of its own. In this paper we look at the need for categorizing numer...

We consider a new class of planning problems involving a set of non-negative real variables, and a set of non-deterministic actions that increase or decrease the values of these variables by some arbitrary amount. The formulas specifying the initial state, goal state, or action preconditions can only assert whether certain variables are equal to zero or not. Assuming that the state of the varia...

Genetic programming is relatively poor at discovering useful numeric constants for the terminal nodes of its sexpression trees. In this paper we outline an adaptation to genetic programming, called numeric mutation. ~,Ve provide empirical evidence and analysis that demonstrate that numeric mutation makes a statistically significant increase in genetic programming’s performance for symbolic regr...

We propose a new chemical detection technique in which an analyte's vibrational frequencies are interrogated directly using an array of nanomechanical resonators. This "nanomechanical resonance spectroscopy" (NRS) could permit label-free chemical detection, combining the high sensitivity of nanomechanical approaches with the high selectivity of traditional spectroscopy. A computational proof of...