A computer agent that develops visual compositions based on the ER-model

2019 ◽  
Vol 88 (5-6) ◽  
pp. 549-588
Author(s):  
Rafael Pérez y Pérez ◽  
Iván Guerrero Román
Keyword(s):  
2016 ◽  
Vol 32 (1) ◽  
pp. 52-60 ◽  
Author(s):  
Katarina Krkovic ◽  
Sascha Wüstenberg ◽  
Samuel Greiff

Abstract. Skilful collaborative problem-solving is becoming increasingly important in various life areas. However, researchers are still seeking ways to assess and foster this skill in individuals. In this study, we developed a computer-assisted assessment for collaborative behavior (COLBAS) following the experiment-based assessment of behavior approach (objective personality tests; Cattell, 1958 ). The instrument captures participants’ collaborative behavior in problem-solving tasks using the MicroDYN approach while participants work collaboratively with a computer-agent. COLBAS can thereby assess problem-solving and collaborative behavior expressed through communication acts. To investigate its validity, we administered COLBAS to 483 German seventh graders along with MicroDYN as a measure of individual problem-solving skills and questions regarding the motivation to collaborate. A latent confirmatory factor analysis suggested a five-dimensional construct with two problem-solving dimensions (knowledge acquisition and knowledge application) and three collaboration dimensions (questioning, asserting, and requesting). The results showed that extending MicroDYN to include collaborative aspects did not considerably change the measurement of problem-solving. Finally, students who were more motivated to collaborate interacted more with the computer-agent but also obtained worse problem-solving results.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hao Hua ◽  
Ludger Hovestadt

AbstractThe Erdős-Rényi (ER) random graph G(n, p) analytically characterizes the behaviors in complex networks. However, attempts to fit real-world observations need more sophisticated structures (e.g., multilayer networks), rules (e.g., Achlioptas processes), and projections onto geometric, social, or geographic spaces. The p-adic number system offers a natural representation of hierarchical organization of complex networks. The p-adic random graph interprets n as the cardinality of a set of p-adic numbers. Constructing a vast space of hierarchical structures is equivalent for combining number sequences. Although the giant component is vital in dynamic evolution of networks, the structure of multiple big components is also essential. Fitting the sizes of the few largest components to empirical data was rarely demonstrated. The p-adic ultrametric enables the ER model to simulate multiple big components from the observations of genetic interaction networks, social networks, and epidemics. Community structures lead to multimodal distributions of the big component sizes in networks, which have important implications in intervention of spreading processes.


2012 ◽  
Vol 170-173 ◽  
pp. 3431-3435
Author(s):  
Yan Chyuan Shiau ◽  
Lian Ting Lu ◽  
Tai Yu Chen ◽  
Chih Ying Lee

As the living quality of the citizens gradually improved, traveling becomes an important recreational activity. The internet speedily provides information related to tour sites. However, web pages generally present merely words and pictures that are not impressive enough to the viewers. Spatial concepts, distance calculation, and tools for vacation planning are also often not provided by the websites. This study combines the usage of 3dSpace, GoogleMap, ER Model, Windows Mobile, SuperPad. It gathers the tour-sites related information of HsinChu city; such as local restaurants, famous attractions, and high rating hotels in the area. The study develops search interface integrated with the Google Map Engine. After selecting of category and input of specific key words, the related information of specific location and 360° satellite image could be shown on browser. The route calculation trips between local attractions is provided on this project. This investigation combines the GPS function to the smart phone, helping the users to arrive at their destination correctly within the minimum time.


The chapter discusses the necessity for data modeling in NoSQL world. The NoSQL data modeling is a huge challenge because one of the main features of NoSQL databases is that they are schema-free, that is they allow data manipulation without the need for the previous modeling or developing an entity-relationship (ER) or similar model. Although the absence of a schema can be an advantage in some situations, with the increase in the number of NoSQL database implementations, it appears that the absence of a conceptual model can be a source of substantial problems. In order to better understand the need for data modeling in NoSQL databases, first the basic structure of an ER model and an analysis of its limitations are summarized, especially regarding an application in NoSQL databases. The concept and Object modeling notation is presented as one of the possible solutions for data modeling in NoSQL databases.


Author(s):  
Osei Appiah ◽  
Troy Elias

Avatars and anthropomorphic characters by marketers are becoming more commonplace on commercial web sites. Moreover, a trend among marketers is to use ethnically ambiguous models in advertising to appeal to specific consumer segments. This study helps our understanding of not only how best to segment and appeal to racially diverse consumers but how people interact with virtual human agents in relationship to the literature on audience response to real humans. It was predicted that Blacks would respond more positively to a Black agent, than they would to either a White agent or an ethnically ambiguous agent. It was also expected that Whites would show no difference in their response based on the race of the computer agent. The findings demonstrate that Blacks had more positive attitudes toward a computer agent, had more positive attitudes toward a web site and recalled more product information from a site when the site featured a Black agent vis-à-vis a White agent. Whites showed no significant response difference concerning the agent, the brand or the site based on the racial composition of the computer agents. Interestingly, the ethnically ambiguous character was overall just as effective in persuading both White and Black browsers as were the same-race agents.


2011 ◽  
pp. 321-336 ◽  
Author(s):  
Yang Yang ◽  
Sheng-Uei Guan

With the proliferation of Internet, electronic commerce (e-commerce) is beginning to take the center stage in the commerce world. Transactions via electronic means have been growing rapidly over recent years, both in terms of turnover amount and volume. It is estimated that the trend will continue, as more and more businesses have already started or have plans to put their products/services online. However, the development of e-commerce is hindered by several factors. One of them is the lack of intelligence. Today, there is little intelligence in the World Wide Web. Users cannot delegate jobs to ‘agents’ that autonomously perform the desired tasks for their owners. One way to resolve this is through the introduction of ‘smart software programs’, or intelligent agents. With an agent architecture in place, users can delegate tasks to agents. An agent can help its owner to search for and filter information, negotiate with other agents, and even perform transactions on behalf of its owner. It is predicted that agent usage will become the mainstream in the future, not just in the field of e-commerce, but in the World Wide Web as well (Guilfoyle, 1994; Corley, 1995). Due to the nature of e-commerce, security becomes a primary concern for any architecture under this category. In fact, the threats to e-commerce come mostly from the area of security. Credit card companies lose billions of dollars every year on card frauds. Bank networks are broken into and millions are transferred out without the administration’s immediate knowledge. In order to fight against these electronic crimes, it is necessary to protect our architecture with a solid security framework. Besides the security needs, it is desirable for agents to have roaming capability as well. Roaming extends the agent’s capability well beyond the limitations imposed by its owner’s computer. Agent operations should not be affected by factors such as the availability of network, the limitation on bandwidth, or the lack of computing resources. Roaming agents should be able to physically leave their owners’ machines and perform their operations using the computing resources on hosting machines.


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