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In learning and development, students need to be made aware of their slips and mistakes in terms of acquiring the required knowledge, skills and competencies, especially, in active learning approaches. However, assessments may not necessarily lead to an effective understanding of student's errors. Most assessors are required to measure the extent of student's accurate output in terms of exam answers...
A multi-level infrastructure management system, which uses the results of the simulation to solve the problem of decision-making, is considered. A feature of the proposed approach is the development of a set of situational models for various scenarios for the emergence and development of a critical situation.
This paper proposes an estimation method for the latent variable Rasch model based on the method of least squares which allows a continuous data set using. The research suggests the application of original approaches within the method for the solution of some applied problems. The authors explain how to use it for task assignment and work organization, decision-making under certainty and the securities...
Defense modeling and simulation (DM&S) offers insights into the efficient operations of combat entities, e.g., soldiers and weapon systems. Most DM&S aim at exact description of military doctrines, but often the doctrines fails to provide detail action procedures about how the combat entities conduct military operations. Such unspecified descriptions are filled with the rational behaviors...
Context-awareness relates to personalisation and requires the selection of potential recipients for targeted service provision. Selection requires a decision, therefore context-aware systems are decision-support systems. In the ‘real-world’ humans try to reach ‘rational decisions’ by applying ‘wisdom’, in this paper we propose an approach which applies ‘rational decision-support’ in context-aware...
Many decision-making problems use vague and imprecise information in linguistic variable formats as preferences. In this paper, we present a linguistic representative model based on discrete fuzzy numbers whose support is a subset of consecutive natural numbers. The arbitrary linguistic term is defined to give decision makers more freedom to express their preferences. The discrete fuzzy weighted normal...
Negotiation is a common means of resolving conflicts in social interactions. A popular approach for modeling social negotiation is automated negotiation. It is a distributed search in the space of potential agreements, facilitated by an agent-based model (ABM). Although automated negotiation is extensively applied in different fields of e-commerce, its application in environmental studies is still...
Zakat is one of the five pillars of Islam. The person who entitled to receive zakah called mustahiq. BAZIS is one of the (Islamic) board which oversees the collection of alms. Its main task is to receive zakah from muzaki and distribute it to the right mustahiq. To determine the mustahiq, BAZIS commitee perform interviews and observation (field surveys) to the mustahiq candidates which could lead...
In this paper, an agent framework for solving multidisciplinary decisions is proposed, including a conceptual decision model coupled with an agent scheme, and a set of functional signatures that drive the inference. The framework is specially designed to support decision-making in organisational structuring among care specialists towards complex problems, individual planning and argumentation, and...
In this paper, we present a scheme for modulating the results of evaluating emotional stimuli using appraisal dimensions. The level of modulation depends on cognitive information projected from components of a cognitive agent architecture. In particular, the proposed scheme models the influence of cognition on appraisal dimensions by modifying the limits of fuzzy membership functions associated to...
The major contribution of this paper is to propose a hybrid approach to improve the comprehensiveness of Cost-Benefit Analysis (CBA) for transport infrastructure projects. CBA is often employed to inform decision makers about the desirability of transport infrastructure investment options. One of the main limitations of traditional CBA approaches is that they do not provide a dynamic view which explicitly...
With the advent of technologies such as Internet of Things (IoT) and Cloud Computing we have now entered the Big Data era. In particular, in a modern sensor-laden environment, often called smart environment, we expect that a huge amount of data can be generated from many sources including hardware and software sensors, and oftentimes humans as sensors too. The significant amount of data thus generated...
Autonomic systems manage their own behaviour in accordance with high-level goals. This paper presents a brief outline of challenges related to Autonomic Computing due to uncertainty in the operational environments, and the role that models@run.time play in meeting them. We argue that the existing progress in Autonomic Computing can be further exploited with the support of runtime models. We briefly...
A large number of studies has shown that there are significant relationships among personality, interpersonal knowledge interaction and team performance. But in exiting researches the perspective is generally static and the framework is not comprehensive enough. On the basis of summarizing and generalizing related works, a new thought is put forward to bridge the gaps of present studies. From the...
Machine to Machine based communication and coordination in cyber physical systems for manufacturing application is a daunting problem. Here, the difficulty is in developing a multi task learning algorithm for finding collaborative key points within high dimensional decision space. In order to overcome such a problem a gradient based method is required to enable distributed control and collaborative...
In this paper, we develop a human social intelligence inspired population-based optimization algorithm called Higher Order Cognitive Optimization (HOCO) algorithm. Each of the individuals in this HOCO possess human-like characteristics such as decision making ability, self/social-awareness, self/social belief, shared information processing, and self-regulation. These characteristics are modeled as...
The electricity capacity market is designed to ensure the adequate availability of necessary resources in the long run. Demand resources (DR) could play an important role in the capacity market. However, since the capacity market is a long-term market, the uncertainties become a major problem for demand response providers' (DRPs) decision making. This paper first formulates the DRP decision problem...
This is a poster in support of our long paper, "Quill: A Framework for Constructing Negotiated Texts, with a Case Study on the US Constitutional Convention of 1787". The paper describes a new approach to the presentation of records relating to formal negotiations and the texts that they create. It describes the architecture of a model, platform, and web-interface (https://www.quillproject...
This paper introduces a novel paradigm for resource management in distributed systems, called decision-driven execution. The paradigm is appropriate for mission-driven systems, where the goal is to enable faster, leaner, and more effective decision making. All resource consumption, in this paradigm, is tied to the needs of making decisions on alternative courses of action. A point of departure from...
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