In this paper we consider a formulation of theH2 optimal control problem in which the controller is not viewed as an operator that transforms measurements to controls. Instead, the controller is assumed to be a device that constrains a set of a-priori specified interconnection variables so as to achieve a controlled system whose manifest variables have a free component and satisfy an upperbound...

A method of interactively specifying behaviorally-controlled animation is presented. The method builds upon the behavioral animation approach described by Reynolds14 using a connectionist approach inspired by Braitenberg.3 Objects are given sensors and effectors, and the user interactively provides a mapping between them. The force from the motor effectors produces motion using a simple form of...

How do material norms and aspirations on which individual judgments of well-being are based affect the growth dynamics of an economy? Do economies that weigh very highly of these norms grow differently from those economies that values these norms differently? This paper attempts to answer these questions by building a growth model, where individual not only care for its consumption but also eva...

FOREWARD Accurate employee selection decisions have never been more vital to organizational success. Advances in technology and changes in organizational structure and responsibilities have increased the demand for high-quality job applicants who, if hired, will grow into productive contributors to organizational success. This demand, when combined with a competitive job market and significant ...

This paper presents a constrained decomposition methodology for discrete-event models. Partial models are obtained and used for model-based fault detection and isolation. The constraints of the decomposition ensures that the resulting partial model is decoupled from a given subset of inputs. The constrained decomposition method is formulated using pair algebra concepts as an iterative algorithm...

People often make approachability decisions based on perceived facial trustworthiness. However, it remains unclear how people learn trustworthiness from a population of faces and whether this learning influences their approachability decisions. Here we investigated the neural underpinning of approach behavior and tested two important hypotheses: whether the amygdala adapts to different trustwor...

Economic analysis of law usually proceeds under the assumptions of neoclassical economics. But empirical evidence gives much reason to doubt these assumptions; people exhibit bounded rationality, bounded self-interest, and bounded willpower. This article offers a broad vision of how law and economics analysis may be improved by increased attention to insights about actual human behavior. It con...

Basically, instrumental conditioning is learning through consequences: Behavior that produces positive results (high “instrumental response”) is reinforced, and that which produces negative effects (low “instrumental response”) is weakened. Instrumental conditioning plays a major role in learning, but the content of such learning might be desired (e.g. correct cause-effect association) or undes...

The main features of (finite) multidimensional convolutional codes are introduced as properties of the codewords supports, and connected with the polynomial matrices (encoders) adopted for their description. Observability and local detectability are shown to be equivalent to the kernel representation of a code via some parity check matrix H . The input/output representation of convolutional cod...

The problem considered is how to model perception and identify behavioral patterns of objects changing over time in complex dynamical systems. An approach to solving this problem has been found in the context of rough set theory and methods. Rough set theory introduced by Zdzisław Pawlak during the early 1980s provides the foundation for the construction of classifiers, relative to what are kno...