In this paper we present some strategies for synthesis of decision algorithms studied by us. These strategies are used by systems of communicating agents and lead from the original (input) data table to a decision algorithm. The agents are working with parts of data and they compete for the decision algorithm with the best quality of object classiication. We give examples of techniques for sear...

Given the explosive growth of products available on the Web, providing decision support features to consumers has become an important area of concern for both researchers and practitioners. When encountered with products with multiple attributes, consumers have been shown to use compensatory and non-compensatory decision strategies. This paper investigates the support provided by the top-100 U....

Cognitive strategies typically involved in regulating negative emotions have recently been shown to also be effective with positive emotions associated with monetary rewards. However, it is less clear how these strategies influence behavior, such as preferences expressed during decision-making under risk, and the underlying neural circuitry. That is, can the effective use of emotion regulation ...

Managing ecosystems with deeply uncertain threshold responses and multiple decision makers poses nontrivial decision analytical challenges. The problem is imbued with deep uncertainties because decision makers do not know or cannot converge on a single probability density function for each key parameter, a perfect model structure, or a single adequate objective. The existing literature on manag...

Earlier studies have demonstrated that attention-deficit hyperactivity disorder (ADHD) is associated with aberrant sensitivity to rewards and punishments. Although some studies have focused on real-life decision making in children with ADHD using the Iowa gambling task, the number of good deck choices, a frequently used index of decision-making ability in the gambling task, is insufficient for ...

To facilitate online consumer decision making, a number of e-commerce businesses are augmenting their Web site features. The Web-based decision support for consumers is often provided by eliciting consumer preferences directly or indirectly to generate a set of product recommendations. The software that captures consumer preferences and provides recommendations is called a Web-based decision su...

In this paper we present a concept of dual human information processing as an aid to understanding the decision styles and decision strategies o f managers. Several threads of thought are woven together: neurological studies of “split-brain” persons, Jung’s typology of personality, and philosophical explanations of human duality. The resulting framework differentiates a range of leftto right-he...

The optimal moment to address the question of how to improve human decision making has arrived. Thanks to fifty years of research by judgment and decision making scholars, psychologists have developed a detailed picture of the ways in which human judgment is bounded. This paper argues that the time has come to focus attention on the search for strategies that will improve bounded judgment becau...

As organizations become increasingly extended across global boundaries, their reliance on information and communication technologies to support their decision making processes increases. Given the narrowing of the digital divide these infrastructures for distributed decision making are becoming more prevalent. Knowledge networking appears to have transformed the nature of decision making throug...