Incentives and Group Identity This paper investigates in a principal-agent environment whether and how group membership influences the effectiveness of incentives and when incentives can have “hidden costs”, i.e., a detrimental effect. We show experimentally that in all interactions control mechanisms can have hidden costs for reasons specific to group membership. In within-group interactions c...

We have developed an annotated logic program called an Extended Vector Annotated Logic Program with Strong Negation(abbr. EVALPSN), which can deal with defeasible deontic reasoning and contradiction. We also have extended EVALPSN to deal with before-after relation between processes, which was named beforeafter(abbr. bf)EVALPSN. We have already applied EVALPSN and bf-EVALPSN to various kinds of ...

Plant complexity inevitably leads to poor models that exhibit a high degree of parametric or functional uncertainty. The situation becomes even more complex if the plant to be controlled is characterized by multi-valued function or even if it exhibits a number of modes of behavior during its operation. Recently, control engineers and theorist have developed new control techniques under the fram...

In this work, the decentralized control law proposed in [Sabattini et al., 2011b] for multi-robot connectivity maintenance is enhanced by means of a selective action. The idea is to identify critical agents, i.e. agents for which a disconnection might cause the split of the communication graph, and limit the control action to those agents. The objective is twofold: to reduce the control effort ...

In May 1993, a task force was created at the invitation of the Technical Committee on Intelligent Control of the IEEE Control Systems Society to look into the area of Intelligent Control and de ne what is meant by the term. Its ndings are aimed mainly towards serving the needs of the Control Systems Society; hence the task force has not attempted to address the issue of intelligence in its gene...

There is a growing interest in the modeling and control of model helicopters using nonlinear dynamic models and nonlinear control. Application of a new intelligent control approach called Brain Emotional Learning Based Intelligent Controller (BELBIC) to design autopilot for an autonomous helicopter is addressed in this paper. This controller is applied to a nonlinear model of a helicopter. This...

It is very important that the comfortable indoor climate is built for crop growing in greenhouse. To adjust the temperature and humidity, the natural ventilation operation and indoor airflow operation is necessary to be controlled. Depending on many researches and analysis for indoor climate of greenhouse, it is proved that the two main parameters, temperature and humidity in greenhouse, correl...