Reacting and Recycling

To a certain extent what this research is proposing is a return to local principles or to regionalism, which is able to employ place-specific tools and craftsmanship (local arts and their virtues) promoting and being innovative with traditional elements which belong to a particular place, and using tectonic and stereotomic logic. You can observe this, in the face of a destructive natural event. An immediate architectural reaction is produced in cooperation with the rest of the not affected territory. The cooperation of certain non-governmental organizations with other groups in the same collaborative cycle improves the recycling of ideas and city planning forms. These organizations cooperate in the development and implementation of cities and settlements that need a fast reaction when facing an unexpected disaster.

Active Learning and Dynamic Pricing Policies

In this paper, we address the problem of dynamic pricing to optimize the revenue coming from the sales of a limited inventory in a finite time-horizon. A priori, the demand is assumed to be unknown. The seller must learn on the fly. We first deal with the simplest case, involving only one class of product for sale. Furthermore the general situation is considered with a finite number of product classes for sale. In particular, a case in point is the sale of tickets for events related to culture and leisure; in this case, typically the tickets are sold months before the event, thus, uncertainty over actual demand levels is a very a common occurrence. We propose a heuristic strategy of adaptive dynamic pricing, based on experience gained from the past, taking into account, for each time period, the available inventory, the time remaining to reach the horizon, and the profit made in previous periods. In the computational simulations performed, the demand is updated dynamically based on the prices being offered, as well as on the remaining time and inventory. The simulations show a significant profit over the fixed-price strategy, confirming the practical usefulness of the proposed strategy. We develop a tool allowing us to test different dynamic pricing strategies designed to fit market conditions and seller s objectives, which will facilitate data analysis and decision-making in the face of the problem of dynamic pricing.