Knowledge acquisition for systems based on knowledge can be called knowledge engineering, according to Feigenbaum (1980) who used the term to describe the reduction of a wide context of knowledge for a set of facts and rules. The term Knowledge…

Irony, nationalism, and the Oera Linda bookThe Oera Linda book is a curious enigma which came to light in the Dutch town of Den Helder in 1867. It is an ambiguous literary text which can be read in two different…

Our approach for automating the negotiation of business
contracts proceeds in three broad steps. First, determine
the structure of the negotiation process by applying general
knowledge about auctions and domain-specific knowledge
about the contract subject along with preferences from po-

Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem.…

La thérapie génique, qui consiste à modifier le génome d'un individu, est la progression logique de l'application de la recherche fondamentale à la médecine. Au moment où l'on célèbre le décryptage du génome humain, surgissent les premières guérisons par la…

his dissertation analyzes how local knowledge improves environmental decisions. The premise is that controlling pollution and addressing public health disparities are not problems that professionals alone can solve. Concerned lay publics, especially low-income populations and people of color that experience…

In this paper, we study the asset pricing implication of imprecise knowledge about rare events. Modeling rare events as jumps in the aggregate endowment, we explicitly solve the equilibrium asset prices in a pure-exchange economy with a representative agent who…

In the restricted single-machine common due date problem the goal is to find a schedule for the n jobs which jointly minimizes the sum of earliness and tardiness penalties, while for the weighted tardiness problem the goal is to find…

Argumentative formalisms have been widely recognized as knowledge representation and reasoning tools able to deal with incomplete and potentially contradictory informa- tion. All such formalisms are computationally demanding. Hence, optimizing argumen- tative systems has been approached from di erent views.

Learning from experience, the cyclical interplay of thinking and doing, is increasingly
important as organizations struggle to cope with rapidly changing environments and more
complex and interdependent sets of knowledge. This paper confronts two central issues
for organizational learning: (1)…