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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...
The success rate of IT system development projects has remained as low as 30 %, resulting in that more than 60 % of workers have suffered from problems. This paper proposes a software agent to replace rudimentary-level human counselors. The agent uses a counseling knowledge whose domain is limited to IT workers or students. Counseling differs from learning support whose problems are clear and well-understood...
In many decision problems, there are two levels of choice: The first one is strategic and the second is tactical. We formalize the difference between both and discuss the relevance of the bandit literature for strategic decisions and test the quality of different bandit algorithms in real world examples such as board games and card games. For exploration-exploitation algorithm, we evaluate the Upper...
We are developing online interactive materials that allow students to adapt their text and homework to their own needs and interests. For example, students may specify topic areas of interest and then selected mathematics homework word problems are adapted to those areas. Using proper data management, their work can be hand-graded with feedback for the students and allowances for students to correct...
Domestic scholars have given a multi-disciplinary research and practical try for context. In this paper, the author gave analysis on role played by context in the elements of political perception's antecedent, adjustment and, and then discussed impact effectiveness of context for organizational politics perception existed in organizational behavior. The paper summed up context and measurement elements...
Interlocutors, express not only information in the form of spoken words but also their feelings and commitments with regard to what is being said. In face-to-face communication participants interact in such a way that they react to one another's multimodal positioning in the conversation. Often this means that they take a "stance". The goal of this paper is to explore the notion of stance...
The recent economic growth in Brazil has resulted in a strong demand for human resources qualification. Software Engineering education, in Brazil, offers qualifications at all levels: undergraduate, further education and postgraduate. However, current market demand indicates a mismatch between the academic provision and the industrial demand. To address this mismatch, it is important to take into...
In the ever growing literature on countering the cyber threat, the so-called JDL model of data fusion, well established in the information fusion community, has been applied to characterize the inner structure of problems within cyber defence and their mutual relationship. The overarching goal is to provide contributions to comprehensive cyber situational awareness by producing timely situation pictures...
In the field of Human-Computer Interaction, the Personas methodology is used to communicate the user's preferences, goals, frustrations and requirements. Although a widely used method, little progress has been made in creating a personas model. This paper aims to provide such a conceptual model, which includes concepts and properties used in the personas methodology, via an OWL specification.
Confronting conflicts and coping with them is part of social life, since conflicts seem to arise in almost every context and developmental stage of human life. The personal and collective gains that follow conflict resolution have motivated scholars across many research fields to advocate the use of pro-social mechanisms for resolution. The Siren serious game aims to support teachers' role to educate...
What do people care about in an image? To drive computational visual recognition toward more human-centric outputs, we need a better understanding of how people perceive and judge the importance of content in images. In this paper, we explore how a number of factors relate to human perception of importance. Proposed factors fall into 3 broad types: 1) factors related to composition, e.g. size, location,...
Ambient Intelligence (AmI) is a vision that refers to an information technology paradigm where a physical environment is ‘aware’ of its human occupants' presence/context and is sensitive, adaptive and responsive to their needs. Physical environments that are augmented with AmI are called Ambient Intelligent Environments (AIEs) which are deemed to be intelligent because the system should be able to...
In these days, there are many news on stock market on the Internet and investors have to understand them immediately to invest in a stock market. In this study we determine sentimental polarities of the stock market news using a polarity dictionary, which consists of terms and their polarities. To achieve our aim we have to construct the polarity dictionary automatically because of decrease of human...
This paper proposes a novel nonlinear manifold learning method for addressing the ill-posed problem of occluded human action analysis. As we know, a person can perform a broad variety of movements. To capture the multiplicity of a human action, this paper creates a low-dimensional manifold for capturing the intra-path and inter-path contexts of an event. Then, an action path matching scheme can be...
Seeded segmentation methods attempt to solve the segmentation problem in the presence of prior knowledge in the form of a partial segmentation, where a small subset of the image elements (seed-points) have been assigned correct segmentation labels. Common for most of the leading methods in this area is that they seek to find a segmentation where the boundaries of the segmented regions coincide with...
In the service economy, as markets change from offering physical products to offering services, organizations across many industries must embrace this transformation to remain competitive. Mobile technology plays an important role in this transformation because of characteristics such as mobility. However, high levels of mobility may not always contribute to service performance. Due to customer variability...
Understanding distributed learning and knowledge creation requires multi-level analysis of local activity and of how this local activity gives rise to larger phenomena in a network. Computational support is needed for such analyses due to the size of the data and distributed nature of interaction. This paper reports on one step towards implementing an analytic framework that addresses these needs...
An important element of human-robot interaction, as with interhuman interaction, is conversation. Having previously suggested the Gricean maxims as suitable guidelines for social robotics dialogue, we discovered that a preferable alternative set of guidelines: politeness maxims. In this paper, we will introduce the politeness maxims and propose its enhanced applicability in human-robot interaction...
WITU (Wearable Indoor Tracking Unit) is a wearable robotic device that aids indoor navigation by building maps and localizing the user within them. Applications of such a device include search and rescue, travel aid in large and complex buildings, museum guides among others where external localization information such as from a GPS is not available. However, WITU relies on human intelligence both...
Unlike social norms, which are the unplanned, unexpected result of the interactions among human individuals, organizational norms are stipulated by the organization with the purpose of constraining the behavior of organizational actors in the context of business processes. We propose a simple conceptual model of organizations and organizational norms as an extension of the metamodel of the Agent-Object-Relationship...
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