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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...
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...
Nowadays, activity recognition has been proposed in several researches. It is attractive to improve the ability of the activity recognition system because existing research on activity recognition systems still have an error in an ambiguous cases. In this paper, we introduce the novel technique to improve the activity recognition system in smart home domain. We propose the three contributions in this...
We present a methodology to investigate the structure of dynamic networks in terms of concentration of changes in the network. We handle dynamic networks as series of graphs on a fixed set of nodes and consider the changes occurring between two consecutive graphs in the series. We apply our methodology to various dynamic contact networks coming from different contexts and we show that changes in these...
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...
A variety of interaction models among agents have been developed, however the research about human attitude toward multiple robot interaction has been out of research focus. While a service robot interacts with more human users, multi-robots interact with humans and even with other robots. In the environment, the interactive behavior of human is affected by multiple robotic interactions. This paper...
Qualitative representation and reasoning on Complex Systems (CS) is important for a number of human activities on CS, mainly for the understanding of both, our perception about their structure as well as their dynamics. Formal Concept Analysis can help understanding the conceptual structure behind these qualitative representations by means of the called concept lattices (CL). In this paper the scale...
Task allocation strategy has a great impact on the performance of the workflow management system in workflow scheduling. Most task allocation algorithms focus on the resource status only. Few algorithms consider the change of efficiency while performer working with different people. To achieve this, this paper presents a concept of Social Context Impact Factor (SCIF) and implements several task allocation...
As human action is uncertain and illegible, a human action recognition method basing on fuzzy support vector machine is presented. Fuzzy support vector machine employs the membership function to solve the unclassifiable areas which happens the traditional SVMs' two-class problems extend to the multi-class problems. the method is evaluated on the Weizmann action dataset and received comparative high...
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...
Human resource allocation is one of the main tasks in software projects, they are determinant in the project quality and success. In this context, this paper presents a qualitative research about human resource allocation conducted in seven companies of different sizes and organizational contexts. The objective of this research is to identify the criteria used by managers to perform the allocation...
In this paper we introduce a new approach to Virtual World-based Command and Control environments for multi-domain operations. Our target scenario is a military coalition operation in a common operation setting. All coalition partners participate in a common virtual command and control environment while different operational contexts take place simultaneously, at different levels of information release...
The ability to recognize human actions is a fundamental problem in many areas of robotics research concerned with human-robot interaction or learning from human demonstration. In this paper, we present a new integrated approach to identifying and recognizing actions in human movement sequences and their reproduction in unknown situations. We propose a set of task-space features to construct probabilistic...
In this paper we discuss the problem of action-specific knowledge processing, representation and acquisition by autonomous robots performing everyday activities. We report on a thorough analysis of the household domain, which has been performed on a large corpus of natural-language instructions from the Web and underlines the supreme need of action-specific knowledge for robots acting in those environments...
The ability to act in a socially-aware way is a key skill for robots that share a space with humans. In this paper we address the problem of socially-aware navigation among people that meets objective criteria such as travel time or path length as well as subjective criteria such as social comfort. Opposed to model-based approaches typically taken in related work, we pose the problem as an unsupervised...
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...
Thus far, lifestyle advisory system has become increasingly popular in both developing and developed countries. Among other essential features, personalisation is considered a defining factor that differentiates a system from apparently similar ones. Aiming to assist human health advisors and encourage individual's self-management, HOMEVMI supports personalisation through dynamic and context-aware...
This work applies nonlinear dynamics to model the encoded time series describing human activities performed in the spatio-temporal domain. We augment the concepts of symbolic dynamics and formal language theory to pattern recognition in generating probabilistic feature extraction which are used to drive a Bayesian classifier for behavior recognition. Our motivation for using stochastic context-free...
In this paper, we propose an approach to detect scene geometrical structure given only one monocular image. Several typical scene geometries are investigated and corresponding models are built. A scene geometry reasoning system is set up based on image statistical features and scene geometric features. This system is able to find best fitting geometric models for most of the images from the benchmark...
Large-format displays, in particular tiled displays, remain actively used and researched today after almost two decades since their conception. Many government, academic, and commercial entities have invested considerably in the construction and use of large-format displays. During this time we have developed new applications but have also discovered faulty assumptions. This position paper evaluates...
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