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The rapid evolution of the Internet from a general information space to an electronic market space provides the users with the possibility to navigate among thousands of Web sites for comparing products and merchants, for making their purchases or for obtaining some desired services. However, from the user's viewpoint, such a navigation often requires an high cost in terms of time to spend on the Web to perform a satisfying comparison of the various alternatives. From the supplier's viewpoint, it is needed to propose products in a suitable way to customers, taking into account the typology of each customer, her/his preferences, habits, etc.

In this context, generally denoted as Business-to-Customer (B2C) e-commerce, the use of software agents as mediators in e-commerce activities seems to be particularly promising.

In this paper, we describe and analyze the various roles agents have assumed in B2C e-commerce applications. Furthermore, we propose a Consumer Buying Behaviour model, called E²-CBB, that considers new emergent issues, as the capability to solve semantic heterogeneity, and the adaptive presentations of Web stores. By using such a model, we classify and compare a number of agent-based approaches for managing B2C e-commerce, proposed in the literature in the last ten years.

26:T421,

This paper presents a new approach to building low level navigation behaviors for 4-legged robots through vision based demonstration learning. The main novelty of the approach is that rather than observing other entities and adapting their kinematics to the robot constraints, a supervisor controls the robot to achieve the desired behavior through a proper interface. The guided actions and the relevant input parameters are related via Case Base Reasoning, so that the robot can retrieve them later to work in an unsupervised way. This intuitive acquisition of reactive behaviors allows bottom-up construction of more complex emergent behaviors and avoids low level kinematics analysis and possible associated errors. The system has been successfully tested using a Sony Aibo robot. Experiments have proven that the robot is capable of adopting a variety of reliable behaviors depending on its relative position in relation to a ball through different trainings. Also, being reactive, the system is resistant against punctual errors and occlusions.

27:T538,

Nowadays, it is quite agreed that organizations gain limited advantages in adopting e-learning platforms that only provide educational contents. An advantageous e-learning platform should have instead the capability to help enrich, share and circulate organization knowledge, thus contributing to making the organization