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In order to assist the field of neural networks in its maturing, a formalization and a solid foundation are essential. Additionally, to permit the introduction of formal proofs, it is essential to have an all encompassing formal mathematical definition of ...
In order to assist the field of neural networks in maturing, a formalization and a solid foundation are essential. Additionally, to permit the introduction of formal proofs, it is essential to have an all- encompassing formal mathematical definition of a n ...
Existing methods for robot planning fall far behind human capabilities: they require approximations of shapes, and they cannot generate plans which involve moving obstacles to clear a path for the moving object. The authors explore the hypothesis that mean ...
The authors describe their multiprocessing extensions to Common Lisp. They have added a few simple, expressive features on which one can build high-level constructs. These consist of a multithreading mechanism, primitives for communication and synchronizat ...
Constraint-based diagnosis algorithms for multiprocessors A. Petri, P. Urban, J. Altmann, M. Dal Cin, E. Selenyi, K. Tilly, A. Pataricza In the latest years, new ideas appeared in system level diagnosis of multiprocessor systems. In contrary to the traditi ...
We provide an overview of the evolutionary approach to the emergence of artificial intelligence in embodied behavioral agents. This approach, also known as Evolutionary Robotics, builds and capitalizes upon the interactions between the embodied agent and i ...
This paper presents a multiagent-system for integrating AL-ICE: a real-life, distributed, large-scale particle physics experiment of the LHC project at CERN. The work is concerned with solving the large-scale coordination problem using a distributed constr ...
In this paper we introduce the framework of Partial difference Equations (PdEs) over graphs for analyzing the behavior of multiple agent formations equipped with decentralized control schemes. PdEs mimic Partial Differential Equations (PDEs) on graphs and ...
In this article we review several successful extensions to the standard Hidden-Markov-Model/Artificial Neural Network (HMM/ANN) hybrid, which have recently made important contributions to the field of noise robust automatic speech recognition. The first ex ...
Currently known methods for robot planning fall far behind human capabilities: they require approximations of shapes, and they cannot generate plans which involve moving obstacles to clear a path for the moving object. In this paper, we explore the hypothe ...
