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In situ hybridisation gene expression information helps biologists identify where a gene is expressed. However, the databases that republish the experimental information are often both incomplete and inconsistent. This paper examines a system, Argudas, designed to help tackle these issues. Argudas i...

International audience In this paper we investigate whether it is possible to create a computational approach that allows us to distinguish topical tags (i. e. , talking about the topic of a resource) and non-topical tags (i. e. , describing aspects of a resource that are not related to its topic) i...

National audience

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International audience Sensory processing is increasingly conceived in a predictive framework in which neurons would constantly process the error signal resulting from the comparison of expected and observed stimuli. Surprisingly, few data exist on the accuracy of predictions that can be computed in...

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Our thesis unifes paradigms of universal darwinism, developmental psycholinguistics and computational linguistics in order to furnish a novel account of language development in human as well as artificial language-acquiring agents. Thesis is preceded by a supplementary volume called "Conceptual Foun...

As one of the newest members in the field of artificial immune systems (AIS), the Dendritic Cell Algorithm (DCA) is based on behavioural models of natural dendritic cells (DCs). Unlike other AIS, the DCA does not rely on training data, instead domain or expert knowledge is required to predetermine t...

Social interactions rely on our ability to learn and adjust on the spot to the other’s behavior. Strategic games provide a useful framework to study the cognitive processes involved in the representation of the other’s intentions and their translation into the most adapted actions. In the last decad...

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The purpose of this article was to assess the impact of a training programme on the level of operational memory on a sample of academics. To this end, a quasi-experimental study was implemented with an active control group of 29 students of basic teaching and computational systems. Complex pre-inter...

The impact of innovated Neuro-Fuzzy System (NFS) has emerged as a dominant technique for addressing various difficult research problems in business. ANFIS (Adaptive Neuro-Fuzzy Inference system) is an efficient combination of ANN and fuzzy logic for modeling highly non-linear, complex and dynamic sy...

in abstract

This paper presents the results of computational experiments on the effects of social influence on individual and systemic behavior of situated cognitive agents in a product-consumer environment. Paired experiments were performed with identical initial conditions to compare social agents with non- s...

The immune system is a complex biological system with a highly distributed, adaptive and self-organising nature. This paper presents an artificial immune system (AIS) that exploits some of these characteristics and is applied to the task of film recommendation by collaborative filtering (CF). Natura...

National audience to the challenge of understanding human learning processes, our interdisciplinary research programme therefore aims to combine models developed in computational neurosciences and bioinspired artificial intelligence with modelling in learning science and learning situation in a well...

This effort examines the intersection of the emerging field of quantum computing and the more established field of evolutionary computation. The goal is to understand what benefits quantum computing might offer to computational intelligence and how computational intelligence paradigms might be imple...

We present a framework which constructs an event-style dis- course semantics. The discourse dynamics are encoded in continuation semantics and various rhetorical relations are embedded in the resulting interpretation of the framework. We assume discourse and sentence are distinct semantic objects, t...

Intrusion detection in wireless ad hoc networks is a challenging task because these networks change their topologies dynamically, lack concentration points where aggregated traffic can be analyzed, utilize infrastructure protocols that are susceptible to manipulation, and rely on noisy, intermittent...

International audience This work is about the modelling of a logistic corridor in order to understand how a logistic system is structured and organised. An agent-based approach and dynamic graphs are used to integrate spatial constraints and functional rules of such a complex system which can be stu...

In practical machine learning systems, graph based data representation has been widely used in various learning paradigms, ranging from unsupervised clustering to supervised classification. Besides those applications with natural graph or network structure data, such as social network analysis and r...

in abstract

We study and solve some variations of the random K-satisfiability problem - balanced K-SAT and biased random K-SAT - on a regular tree, using techniques we have developed earlier(arXiv:1110.2065). In both these problems, as well as variations of these that we have looked at, we find that the SAT-UNS...

International audience