Computational creativity

Technologies

• Augmented reality
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Technologies
Augmented Reality is a technology capable of combining information from the real world and the virtual world information. With this technology, we provide more attractive and useful to our products, in turn causing a huge visual impact on the receiver and improving communication between them.
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• Fuzzy systems
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Technologies
A mathematical technique for dealing with imprecise data and problems that have many solutions rather than one. Fuzzy logic works with ranges of values, solving problems in a way that more resembles human logic, and it's used for solving problems with expert systems and real-time systems that must react to an imperfect environment of highly variable, volatile or unpredictable conditions.
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• Information fusion
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Technologies
The information fusion defines processes of organizing, merging and linking disparate information elements (e.g., map features, images, text reports, video, etc.) to produce a consistent and understandable representation of an actual or hypothetical set of objects and/or events in space and time.
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• Intelligent Modelling
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Technologies
The Intelligent Modelling is a revolutionary new approach to process modeling and pattern recognition, which is applicable to virtually any automated process. It captures the behavior of a process by building empirical models based on historical data. Deviations are catalogued into signatures to form patterns that are used to identify problems.
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• Multi-Agents System
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Technologies
One of the most representative fields in the study and development of systems of BISITE, is research on agent technology. It is a fact that the use of agents and multiagent systems for application development in dynamic and flexible environments is growing. In general, agents are being used in a variety of applications because they offer substantial advantages, including the naturalness of the model to conceptualize different types of software. Similarly, multi-agent systems represent a new way of analyzing, designing and implementing complex software systems. A multiagent system consists of several different autonomous agents interacting to achieve the desired function. Each agent performs a series of tasks and communicates with other agents to exchange information or demand a service. Both the agents and multiagent systems research fields are currently in full development, which are increasingly spending more resources.
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• Predictive algorithms
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Technologies
Predictive algorithms use an explicit process model to predict the behavior of the system response. For each time interval, the predictive algorithm determines a control sequence that optimizes future behavior.
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• Recommender systems
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Technologies
Recommender systems propose ranked lists of items (that are subsets of a larger collection) according to their presumed relevance to individual users. Relevance is determined from explicit and implicit user feedback such as ratings on items, commercial transactions or explicitly stated requirements (Zanker, M., Jessenitschnig, M)
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• Virtual organizations
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Technologies
The line dedicated to research on agent technology is expanding, including virtual organizations of agents. The agents’ organizations that self-adjust to benefit from its current environment are more important. These organizations may appear in dynamic or emerging agents societies, such as those suggested by the domains grid, peer-to-peer networks or other environments in which agents group dynamically to provide composite services. Social factors in the organizations of multi-agent systems are also increasingly important to structure interactions in open and dynamic worlds.
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• Web 3D
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Technologies
The Web 3D tecnologies permit navigate and work in Internet sites using 3D Interfaces (like Unity, Java 3D, WebGL or Adobe Shockwave). The 3D models accurately illustrate any visual impact, present design options and an array of relevant datasets.
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