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The ramp-up process is a significant bottleneck during the development of manufacturing systems. The effort and time required to ramp-up a system is largely dependent on the effectiveness of the human decision making process to select the most promising action and improve the system. Although existing work has identified significant factors influencing ramp-up performance, little has been done to...
Web entities are the building blocks of human knowledge and users are making decisions among vast varieties of entities. For example, recommendation systems generate lists of entities to users, but seldom show the reasons of recommendation such as the uniqueness of each item to assist user decision making. In this paper, we mathematically define Web entity uniqueness and uniqueness patterns, based...
We propose a simple probabilistic model of zapping process of television viewers. Our model might be regarded as a ‘theoretical platform’ to investigate the human collective behavior in the macroscopic scale through the zapping action of each viewer at the microscopic level. The stochastic process of audience measurements as macroscopic quantities such as television program rating point or the so-called...
Agent based simulations often model humans and increasingly it is necessary to do this at an appropriate level of complexity. It has been suggested that the Belief Desire Intention (BDI) paradigm is suitable for modeling the cognitive processes of agents representing (some of) the humans in an agent based modeling simulation. This approach models agents as having goals, and reacting to events, with...
In contrast to intelligence, wisdom is the part of the propositional knowledge part of the background of knowledge that is a mean between two extremes of believing without sufficient evidence and not believing with sufficient evidence. Wisdom may be incorporated in an artificial intelligence system as artificial wisdom (AW). An intelligence system with AW, will learn a collection of activities like...
Traditional methods do not actually measure peoples' risk attitude naturally and precisely. Therefore, a fuzzy risk attitude classification method is developed. Since the prospect theory is usually considered as an effective model of decision making, the personalized parameters in prospect theory are firstly fuzzified to distinguish people with different risk atti-tudes, and then a fuzzy classification...
The desire of human beings and the goal of government policy basically have a common point, i.e., the better life in happiness. However, the common point composed of multi-criteria from objective and subjective living causes difficulty in decision making. This research applies the fuzzy set extensions of dominance-based rough set approach (FSE-DRSA) on the better life in happiness defined by the Organization...
Center of Gravity (COG) analysis is an integral and cognitively demanding part of developing the course of action (COA) in military operational planning. However, the COG may be an abstract concept, or directly assaulting the COG is not feasible. Therefore, the critical vulnerabilities (CV) which influencing the COG must be determined. To do so, this paper proposes a COG network model based on the...
Ludwig von Bertalanffy (1978, p. VII) explicitly stated that he had created his General Systems Theory against over-specialization, i.e. to support interdisciplinary creative cooperation as the best way toward the necessary holism of approach and wholeness of outcomes of human activity. But he did not support this intention methodologically a lot. The now-a-days usual narrow over-specialization provides...
The ability to automatically predict likelihood of reaction to specific events and situational awareness is important to many military and commercial applications. Gauging population sentiment for targeted response areas and having the ability to predict or control sentiment within these areas is invaluable. Review of reception towards deployed forces must be analyzed, especially in areas vital for...
Human-centered engineering is a main concern regarding reliability issues in automation of complex processes. However, even recent automation devices are not capable to automate processes with an advanced cross linkage of process technique and manufacturing skills as occurring in traditional handcrafting processes. Analyzing handcrafting applications for automation approaches regarding human factors...
We present results from a web-based experiment conducted to assess the effect of Twitter metadata on decision making in content consumption. Participants were presented with information concerning two tweets and asked which they would prefer to read. Analysis of the results shows that recognition of the author as being within the readers local network is highly influential in the decision to read...
We propose a Multi-Brain (multi bio-signal) Fusion (MBF) technology, which consists in the aggregation and analysis of brain and other biometric signals collected from a number of individuals. Often performed in the context of some common stimulus, MBF aims to facilitate rapid/enhanced collective analysis and decision making, or to assess aggregate characteristics, such as a group emotional index...
Often the AI techniques for decision making used in commercial games are predictable and unadaptive. Arguably, this causes a lack of realism for the players. We believe that emotions are a vital part in the creation of interesting and believable non-player characters for games. In this paper, we present an extension to behavior trees that incorporates emotions into the decision making. Specifically,...
We describe a generative Bayesian model of tactical attacks in strategy games, which can be used both to predict attacks and to take tactical decisions. This model is designed to easily integrate and merge information from other (probabilistic) estimations and heuristics. In particular, it handles uncertainty in enemy units' positions as well as their probable tech tree. We claim that learning, being...
Effective decision-making within teams and organizations require members to quickly identify, process, and share information with each other. Trust has received significant attention as a key concept to improve performance of information sharing tasks and teams. In this paper, we study the impact of a composite trust based agent model on information sharing in organizations. Our proposed composite...
The concept of a bipolar query, meant as a database query that involves both mandatory and optional conditions, is discussed from the point of view of, first, flexible database querying and, second, some newer approaches to decision making involving affects and judgments, unconventional multicriteria decision making and the modeling of sophisticated user's intentions and preferences of a positive...
We describe an agent-based model of individual human behavior that combines a dual-process architecture with reactive planning and mental models in order to capture a wide range of human behavior, including both behavioral and conceptual errors. Human operator behavior is an important factor in resilient control of systems that has received relatively little attention. Models of human behavior and...
Li Ning applies information technology into all aspects of its corporate governance, combing with its actual situation continuously in the process of information development, which greatly improves its corporate governance ability. Enhancement of such ability lays a foundation for the development of information in the company and forms the mutual promotion of the two. In such an era of changing information,...
In this paper a method for recognizing the cutin maneuver using a Bayesian network is proposed, followed by an evaluation of the degree of danger of the situation. An adequate behavior of the ego-vehicle is generated using a fuzzy logic controller. The task of this controller is to provide appropriate actions such as to help prevent a possible collision caused by a dangerous cut-in maneuver, by issuing...
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