The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
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...
According to group research, group members often fail to consider critical unique information in a group decision-making setting because of their motivated information-processing behavior. Given the complexity of experimental designs to investigate the problem, agent-based modeling can provide hypotheses that can work as theoretical guidance for future research. The purpose of this paper is to identify...
Requirements discovery is important in the context of system-of-systems because the requirements are not clear at the outset of the project and the future system may bring innovation to users through integration and orchestration. Modelling the existing systems in order to understand the current work practice of domain users is the first step towards requirements elicitation. Use case diagrams can...
This article describes our work in progress and deals with methods and approaches for handling internal complexity emerging in highly realistic models of human behaviour. We present a new modelling approach to human decision making along with a conceptual design of several methods targeting selected aspects of complexity, such as the combinatorial explosion of action alternatives in rich environments,...
The complex decision making experimental platform (CODEM) is intended as a shareable research tool to stimulate multidisciplinary research on complex dynamic situation management and as an environment for training and testing cognitive readiness. The experimenter can set general parameters, configure the interface, specify the model, insert events and define the resources and capabilities of each...
This paper has the objective of presenting inteligent-agent methodology to evaluate the Air Traffic Flow Management (ATFM) scenario which aggregates the Dynamic Density criterion. The new evaluation function is proposed to determine the rewards in a reinforcement learning ATFM agent. The paper includes a specific analysis focused on the air scenario observed in Brazilian airspace. The comparative...
When robots leave industrial settings, they have to be designed allowing intuitive communication with the humans they interact with. The current paper focuses on collaboration in kinesthetic tasks. Herein, we investigate decision situations. This way, the need of communication between partners can be addressed. The current paper introduces for the first time an experimental paradigm which allows studying...
Recent operations in Iraq and Afghanistan have confirmed that in order to achieve effective Network-Centric Operations (NCO), innovative enhancement to military decision-making is desired. Required are processes and computational models that support the decision-makers' experience while promoting high levels of shared situation awareness (SA)-not only in the context of the external operating environment,...
An approach to deal with increasing complexity in control tasks is used the human mind as an archetype for a reasoning unit. In this article, psychoanalysis is used as theoretical framework for the described model. The main elements are Id, Ego, and Super-Ego. This article deals with fail-safe aspects of such a complex architecture. What will happen if one or even two of the main elements fail to...
Based on the concept of open complex system, the paper analyzes three causes of system complexity: system structure, combination exploding and human intervention. And then the paper pointes out that "un-repeatability" is a core characteristic of complex giant system (CGS). Applying the system dynamics to complexity research, the paper constructes a theoretic framework for studying the large...
Based on the present day researches on problem formulation and complicated decision making problem, a definition for complicated decision making problems is presented, the relationship between the formulation of domain knowledge and the formulation of problem is identified, and then a formulation method of complicated decision making problem based on domain knowledge is proposed. The method uses the...
Interest in Self-Organized (SO) unmanned aerial vehicles (UAVs) systems is increasing because of their flexibility, versatility and economics. Many countries and industries are developing autonomous and swarming UAVs for reconnaissance, surveillance, intelligence gathering, and target engagement and neutralization. The processes for effectively developing these systems are still in their infancy....
As System of Systems challenges become more pronounced, we are especially interested in a) the notion that each particular SoS problem is unique, possessing different sets of traits to differing degrees a) in the midst of this diversity, developing appropriate modeling for purposes of decision-making support. Because individual systems can operate independently within an system of systems, many traditional...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.