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It is our great privilege to welcome you all to The 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2015) held from November 20 to November 22 in Tainan, Taiwan. The TAAI conference is an annual event that brings together researchers, engineers, and practitioners to present and exchange ideas, results, and experiences in AI technologies and applications. The organizing...
The trend of Industry 4.0 has attracted a lot of attention in the world. It aims to create a highly connected, smart and flexible production environment characterized by introducing the methods of self-optimization, self-configuration, self-diagnosis, cognition and intelligent support of workers in their increasingly complex work. Taiwan government also initiates a national Productivity 4.0 project...
Multi-objective optimization is widely found in many fields, such as logistics, economics, engineering, or whenever optimal decisions need to be made in the presence of trade-offs. The problem is challenging because it involves the simultaneous optimization of several conflicting objectives in the Pareto optimal sense and requires researchers to address many issues that are unique to MO problems....
Everyday, the users search the web for things of their interest. On multiple occasions they expect precise, as much as possible, results. However, human's curiosity and a need for being exposed to different things, things that provide some levels of novelty is an important part of the exploration processes. Existing systems supporting the users in their search activities provide them with some variations,...
Sentiment analysis (SA) or opinion mining is the computational study of opinions, sentiments, attitudes, emotions, moods and affects. Due to almost unlimited applications and numerous research challenges, SA is a very active research area in natural language processing and data mining. In this talk, I will first introduce the SA problem and discuss the recent work of using big data and lifelong learning...
Spatial trajectory data is widely available today. Over a sustained period of time, trajectory data has been collected from numerous GPS devices, smartphones, sensors and social media applications. How do we manage them? What values can a business derive from them, and how? Due to their very large volumes, the nature of streaming itself, highly variable levels of data quality, as well as many possible...
Recent advances in planning techniques have focused on online search techniques. While these techniques allow practitioners to obtain policies for fairly large problems, they assume that a non-negligible amount of computation can be done between each decision point. In contrast, the recent proliferation of mobile and embedded devices has lead to a surge of applications that could benefit from state...
When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will occur. Perhaps some people think that the belief degree is subjective probability or fuzzy concept. However, it is usually inappropriate because both probability theory and fuzzy set theory may lead to counterintuitive results in this case....
The main objectives of data mining are the accuracy and interpretability of the obtained knowledge from databases. How to design sophisticated algorithms to deal with them is an attractive issue for researches. In recent years, many statistical methods have actively been studied to pursue more and more accurate knowledge. However, the interpretability of such knowledge is often low because of its...
The discussion on cognition, intelligence, consciousness, and self has a long history. Robotics can be considered as a study on understanding human behaviors and building artificial physical agents. In this tutorial, I talk about the research direction on robotics from historical point of view. First, I explain traditional problems on map building and path planning of mobile robots. One of the most...
Humankind has been collecting data since the recording started, but in the last decade with the considerable advances in computing and storage technologies, advancements of cloud computing, development of ubiquitous connectivity and the internet of things, there has been explosion in the size and variety of collected data. Nevertheless, one can be data-rich and knowledge-poor, and this is where the...
Evolutionary computation is the study of biologically motivated computational paradigms which exert novel ideas and inspiration from natural evolution and adaptation. The applications of population-based heuristics and nature-inspired metaphors in solving multiobjective optimization problems have been receiving a growing attention. To search for a family of Pareto optimal solutions, Evolutionary Multiobjective...
Finding, participating, and creating a community is not easy, but community is one of the important factor in life. Community-centric system is focused on not only each user but also whole of the community. The system which support to maintain and expand a community is needed. Therefore, this paper focused on community-centric research. Firstly, the authors discuss the necessity of community-centric...
This paper proposes a method for classifying roads' lighting situation at night based on social approach. Information about roads' lighting situation is important in terms of safety and security of local communities, which is used for discussing anti-crime activities and route recommendation at night. However, it is difficult to know actual lighting situation on roads because of the lack of information...
This paper proposes a personal-value based item modeling, which is used for explaining recommendation. In recent years, studies on improvements of user's satisfactions for recommender systems by showing process of recommendation have been popular in addition to precision of recommendation. The proposed method extracts personal values of reviewers of a movie as the influence of movie's attribute on...
This paper analyses user's behaviour for information retrieval using existing Web search engines and a search engine focusing on trend-related queries. We are developing a search engine focusing on trend-related queries, called context search engine which we expect available in various types of domains. We guessed that users represent their information needs as series of queries based on their search...
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