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A biologically inspired cognitive model is presented for human decision making and applied to the simulation of the web user. The model is based on the Neurophysiology description of multiple decision process; this is a well proven psychological theory. The model simulates the behaviour of a real user on a website and it was observed that the distribution of artificial web users in sessions successfully...
Web cache replacement Algorithms proposed in the literature try to maximize the Hit Ratio (HR), the Byte Hit Ratio (BHR), and the Delay Saving Ratio (DSR). However, even with an infinite Web cache storage capacity, values of these metrics could not exceed 70% most of the time. This is due to the fact that, given a workload, the first reference to an object is always a miss. Moreover, a statistical...
How best to represent text data is an important problem in text mining tasks including information retrieval, clustering, classification and etc.. In this paper, we proposed a compact document representation with term semantic units which are identified from the implicit and explicit semantic information. Among it, the implicit semantic information is extracted from syntactic content via statistical...
This paper presents a novel method to estimate characteristics of information sources about a topic by analyzing their information diffusion subnetworks in blogspace. In an information diffusion network, each influential information source has an affected subnetwork whose nodes are reachable from it. We define three information diffusion properties of the subnetwork using the numbers of three types...
The online communities are becoming so popular along with the development of the web but indexing and searching for the discussion data are big challenges to current applications. Topic detection was proposed to solve the problem but the accuracy is still not satisfactory, mainly because key elements are usually implicit or ambiguous which literal content comparison cannot handle. In this paper, we...
For most scientists, their research interests are dynamically changing all the time. Through an analysis of research interests, we find that all the changes are with some characteristics. Plus, the research interests in the dynamic changing process are not isolated, instead, they are interconnected as a whole to form a holistic structure. We introduce some measurement parameters to track and detect...
Since several years, great distribution firms implement more and more complex layout and shelf allocation strategies, so as to force empirical know-how to combine with Artificial Intelligence tools. Thus simulation has become an essential tool for designing efficient article layouts. Mathematical models based on statistical observations have been replaced by agent-based models. In this paper we argue...
We analyze email communications within a large company to reveal how email activity patterns depend on content. We characterize email contents using keywords and examine statistics of email transmissions. As a result, we are able to identify differences in network structures and propagation behaviors depending on the type of keyword.
General Game Playing (GGP) research aims at designing intelligent game playing agents that, given the rules of any game, automatically learn strategies to play and win without human intervention. Our GGP agent can play the wide variety of heterogeneous games provided by the IJCAI GGP competition framework, and without human intervention, learn from its own history to develop strategies toward achieving...
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