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The amount of any individual risk acceptance criterion is directly related to the correspondent amount of expected revenue. At the same time, a decision maker often searches for optimal strategies operating under contexts affected both by random events and limited information. This paper is focused on the so-called portfolio risk problem, concerning the risk management of financial resources. The problem leads to an interesting framework that should be applied to other fields, such as risk evaluation and system analysis of transport networks in emergency conditions, as well as risk management forms to improve engineer’s decisions during large projects development.

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Abstract—This paper presents an operational test and val-idation approach for the evaluation of the performance of a range of marine, aerial and ground search and rescue robots. The proposed approach seeks to find a compromise between the traditional rigorous standardized approaches and the open-ended robot competitions. Operational scenarios are defined, including a performance assessment of individual robots but also collective operations where heterogeneous robots cooperate together and with manned teams in search and rescue activities. That way, it is possible to perform a more complete validation of the use of robotic tools in challenging real world scenarios. I.

in mobile robotics: the Sick LMS200 and the Hokuyo URG-04LX, and two industrial punctual LRFs: the Ifm Effector O1D100 and the Sick DT60. Based on the results obtained, a set of conclusions and recommendations are taken considering the utilization of LRF in mobile robots operating in risky and adverse

Abstract. In this work we introduce some anticipatory mechanisms in a BDI architecture, and model part of the functions of surprise, in particular the advantage of becoming cautious, wary and careful. This approach increases the opportunism and the reactivity of BDIlike planning and deliberative agents. The relevance of this issue will soon become important both for software cognitive agents and for autonomous robots. To have anticipatory representations, to experience surprise, and to exploit various functions of them will be crucial, not only for curiosity and exploration, but much more for learning, attention capabilities, for prudently adjusting behaviours, and for social relations like trust and suspicion, coordination and reliance etc. We provide in this paper a first modeling of those kind of agents and we propose a general BDI architecture to allow caution and expectation enabled agents. Finally we provide experiments illustrating different performances for agents designed with different caution policies. 1

This paper explores the aggregate consequences of Foreign Direct Investment (FDI) on the opportunities for risk diversification available to consumers. The crucial difference between FDI and other international financial flows is that the former involves technology flows across countries. We present a model where firm-embedded productivity can be transferred costly across countries through the activity of multinational firms. We find that risk patterns affect multinationals ’ location decisions and, in turn, these decisions change the scope for international risk diversification even in a world with complete financial markets. A calibration exercise for OECD countries suggests that, consistent with the model, large countries tend to be net exporters of technologies. However, as shocks are strongly correlated across country, technology transfers embedded in MP flows do not substantially reduce the consumption risk premium relative to a world with no MP.

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This paper analyzes the impact of country specific risk on a firm’s choice between serving a for-eign market through exports or affiliates sales. We find that country pairs with less correlated business cycles trade more, relative to multinational production. Moreover, the stochastic prop-erties of world output fluctuations affect the cross country patterns of trade flows and foreign affiliate sales. Using U.S. data on trade and affiliate sales, we find empirical support for the predictions of the model. Our estimates suggest that, if the business cycles of New Zealand and the United States were perfectly synchronized, New Zealand’s exports would drop by 2 percent, relative to the sales of its affiliates in the United States. This drop is equivalent to a reduction of more than 4 percent in the distance between New Zealand and the United States. ∗We are thankful for helpful comments from participants at the 2009 Society for Economic Dynamics Annual

Abstract. Context-Based Information Retrieval is recently modelled as an exploration / exploitation trade-off (exr/exp) problem, where the sys-tem has to choose between maximizing its expected rewards dealing with its current knowledge (exploitation) and learning more about the un-known user’s preferences to improve its knowledge (exploration). This problem has been addressed by the reinforcement learning community but they do not consider the risk level of the current user’s situation, where it may be dangerous to explore the non-top-ranked documents the user may not desire in his/her current situation if the risk level is high. We introduce in this paper an algorithm named CBIR-R-greedy that considers the risk level of the user’s situation to adaptively balance between exr and exp. 1