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SYNASC
2005
IEEE
133views Algorithms» more  SYNASC 2005»
13 years 10 months ago
Emotional Ant Based Modeling of Crowd Dynamics
It is known that one of the most disastrous forms of collective human behavior is the kind of crowd stampede induced by panic. This situation often leads to fatalities as people a...
Soumya Banerjee, Crina Grosan, Ajith Abraham
SYNASC
2005
IEEE
77views Algorithms» more  SYNASC 2005»
13 years 10 months ago
On P Systems with Bounded Parallelism
— A framework that describes the evolution of P systems with bounded parallelism is defined by introducing basic formal features that can be then integrated into a structural op...
Francesco Bernardini, Francisco José Romero...
SYNASC
2005
IEEE
119views Algorithms» more  SYNASC 2005»
13 years 10 months ago
A Reference Implementation of ADF (Agent Developing Framework): Semantic Web-Based Agent Communication
The purpose of this paper is to present the main characteristics of ADF, an open source agent developing platform with a focus on agent collaboration. The basic architecture of th...
Catalin Hritcu, Sabin C. Buraga
SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
13 years 10 months ago
Mobile Agents in a Multi-Agent E-Commerce System
Among features often attributed to software agents are autonomy and mobility. Autonomy of e-commerce agents involves adaptability to engage in negotiations governed by mechanisms ...
Costin Badica, Maria Ganzha, Marcin Paprzycki
SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
13 years 10 months ago
A Reinforcement Learning Algorithm for Spiking Neural Networks
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Razvan V. Florian