We propose a molecular associative memory model, by combining auto-logistic specifications which capture statistical dependencies within the local neighborhood systems of the exposed knowledge, with the bio-inspired DNA-based molecular operations which store and evolve the memory. Our model, characterized by only the local dependencies of the spatial binary data, allows to capture only a fewer ...

This technical report describes how biologically inspired agents can be used to solve control and management problems in Telecommunications. These agents, inspired by the foraging behavior of ants, exhibit the desirable characteristics of simplicity of action and interaction. The collection of agents, or swarm system, deals only with local knowledge and exhibits a form of distributed control wi...

We present a socially inspired approach that allows agents in Multi-Agent Systems to speed up their own learning process through communication. Thereby, they are able to trade off impact of knowledge by mutation dependent on the recent performance of the interacting agents. This is inspired by social interaction of humans, where the opinions of experts have greater impact on the overall opinion...

ÐIn recent years, there has been growing interest in algorithms inspired by the observation of natural phenomena to define computational procedures that can solve complex problems. In this article, we describe a distributed heuristic algorithm that was inspired by the observation of the behavior of ant colonies, and we propose its use for the Quadratic Assignment Problem. The results obtained i...

1 Email: [email protected] Abstract This paper describes how biologically-inspired agents can be used to solve control and management problems in Telecommunications. These agents, inspired by the foraging behavior of ants, exhibit the desirable characteristics of simplicity of action and interaction. The collection of agents, or swarm system, deals only with local knowledge and exhibits ...

This paper describes how biologically-inspired agents can be used to solve complex routing problems incorporating prioritized information flow. These agents, inspired by the foraging behavior of ants, exhibit the desirable characteristics of simplicity of action and interaction. The collection of agents, or swarm system, deals only with local knowledge and exhibits a form of distributed control...

The paper proposed a new model by applying bio-inspired theory into intrusion detection system in cloud computing. Dendritic Cell algorithm (DCA) based on Danger Theory get involved in the model designation in allusion to the existing problem, high false negative rate, low detection efficiency, low real-time process, and lack of adaptive of the unknown aggressive behavior for nowadays detection...

Bio-inspired processes are involved more and more in today’s technologies, yet their modelling and implementation tend to be taken away from their original concept because of the limitations of the classical computation paradigm. To address this, [1] introduced systemic computation (SC), a model of interacting systems with natural characteristics, and [2] introduced a modelling platform with a ...