نتایج جستجو برای: distributed artificial intelligence
تعداد نتایج: 592449 فیلتر نتایج به سال:
BACKGROUND Various neuroimaging studies, both structural and functional, have provided support for the proposal that a distributed brain network is likely to be the neural basis of intelligence. The theory of Distributed Intelligent Processing Systems (DIPS), first developed in the field of Artificial Intelligence, was proposed to adequately model distributed neural intelligent processing. In a...
Persistent computing systems are an infrastructure of computing anticipatory systems. The reactability of a persistent computing system, which is how many reactions of the system are active at a certain time, is the most important property to characterize the system. On the other hand, to be anticipatory, the reactability of a computing anticipatory system must be continuous. This paper propose...
1 I n t r o d u c t i o n In areas such as artificial intelligence or distributed systems, there has been considerable interest in agents with perfect introspection, that is, agents, who know everything they know and if they don't know something, then they know that they don't know it. For example, the so-called autoepistemic logics developed in artificial intelligence use introspection to mode...
Special-piirpose vision systems have shown considerab le success within limited task domains, b u t to d a t e t h e r e are n o general-purpose systems working effectively across a variety of task domains. T h e VISIONS Schema System’ provides a framework for building a general in te rpre ta t ion sys tem as a distributed network of m a n y small special-purpose in te rpre ta t ion systems. Ea...
Distributed real-time SlowDoS attacks detection over encrypted traffic using Artificial Intelligence
In todays growing and ever changing world of computer networks, management systems need to have the abilities of intellectual reasoning, dynamic real time decision making, experience based self-adaptation and improvement. Furthermore, ever increasing size and complexity of computer networks require automation for their management systems. Automation minimizes human involvement which produces ef...
We present a unique and elegant graphics hardware realization of multi agent simulation. Specifically, we adapted Velocity Obstacles that suits well parallel computation on single instruction, multiple thread, SIMT, type architecture. We explore hash based nearest neighbors search to considerably optimize the algorithm when mapped on to the GPU. Moreover, to alleviate inefficiencies of agent le...
In this article, we conducted the evaluation of artificial intelligence research from 1990–2014 by using bibliometric analysis. We introduced spatial analysis and social network analysis as geographic information retrieval methods for spatially-explicit bibliometric analysis. This study is based on the analysis of data obtained from database of the Science Citation Index Expanded (SCI-Expanded)...
The construction of computational cognitive models integrating the connectionist and symbolic paradigms of artificial intelligence is a standing research issue in the field. The combination of logic-based inference and connectionist learning systems may lead to the construction of semantically sound computational cognitive models in artificial intelligence, computer and cognitive sciences. Over...
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