A widely used fuzzy reasoning algorithm was modified and implemented via an expert system to assess the potential risk of employee repetitive strain injury in the workplace. This fuzzy relational model, known as the Priority First Cover Algorithm (PFC), was adapted to describe the relationship between 12 cumulative trauma disorders (CTDs) of the upper extremity, and 29 identified risk factors. ...

Structured prediction problem is a special case of machine learning problem where both the inputs and outputs are structures such as sequences, trees, and graphs, rather than plain single labels or values. Many important natural language processing (NLP) problems are structured prediction problems, including Part-Of-Speech tagging, parsing, and machine translation. This survey investigates how ...

A systematic study of collective action informed by game theory must deal with the problem of multiple equilibria. Equilibrium is the polar star of game theory: the whole purpose of a game-theoretic model is to arrive at an equilibrium that can serve as its testable prediction. Yet, when a game has multiple equilibria, many possible outcomes are compatible with individual strategic rationality ...

The spatial prediction of land cover at the field scale in winter appears useful for the issue of bare soils reduction in agricultural intensive regions. High variability of the factors that motivate the land cover changes between each winter involves integration of uncertainty in the modelling process. Fusion process with Dempster-Shafer Theory (DST) presents some limits in generating errors i...

Associative learning theory assumes that prediction error is a driving force in learning. A competing view, probabilistic contrast (PC) theory, is that learning and prediction error are unrelated. We tested a learning phenomenon that has proved troublesome for associative theory--retrospective revaluation--to evaluate these two models. We previously showed that activation in right lateral prefr...