Causal inference is one of the central capabilities of the natural intelligence that plays a crucial role in thinking, perception, and problem solving. Fuzzy inferences are an extended form of formal inferences that provide a denotational mathematical means for rigorously dealing with degrees of matters, uncertainties, and vague semantics of linguistic variables, as well as for rational reasoni...

Abstract: Fault-tolerant design concepts, such as self purging, sift-out modular redundancy, overlapping parity, and cyclic duplication coding, are presented. In most of these methods, fault location can be identified and even possibly be isolated or corrected. Practical case studies involving these methodologies are presented. In addition, methodologies to test the voter circuit for possible m...

The present business era is labeled by collaborations across enterprise boundaries and by utilisation of service-based computing. Pervasive computing utilities are created to match the basic business activities, such as contracting and breach management, adaptation of innovative business models, and collaboration management. Categories of computer assisted breeding environments and automated se...

Big data are products of human collective intelligence that are exponentially increasing in all facets of quantity, complexity, semantics, distribution, and processing costs in computer science, cognitive informatics, web-based computing, cloud computing, and computational intelligence. This paper presents fundamental big data analysis and mining technologies in the domain of social networks as...

Soft computing is a term indicating a coalition of methodologies, and its basic dogma is that, in general, better results can be obtained through the use of constituent methodologies in combination, rather than in a stand alone mode. Evolutionary computing belongs to this coalition, and thus memetic algorithms. Here, we present a combination of several instances of a recently proposed memetic a...

The ability to reason with new information and learn from it is a fundamental aspect of intelligence. It is also at the heart of the challenge to build smarter computers and computing software. The wealth of information on molecular structures, rapidly growing in the crystallographic databases, o ers a singular opportunity to assess new computing approaches and their ability to mimic human inte...

It is my belief that a specification for 3D interfaces is necessary for the continued advancement of the field. Such a specification stands to be severely limited however if care is not taken to understand the requirements of the domain. This paper explains my concerns about this topic as it is best to understand the benefits and limitations of a course of action prior to committing to it. I wi...

Applying a dimensional stacking layout to multidimensional pixelization images yields a highly informative visualization with new possibilities for interactive techniques such as dimension reordering and ad hoc database queries. Pixelization is the mapping of each data point in some set to a pixel in an image. Dimensional stacking is a layout method where N dimensions are projected into 2. In t...

Controllers are necessary for physically-based synthesis of character animation. However, creating controllers requires either manual tuning or expensive computer optimization. We introduce linear Bellman combination as a method for reusing existing controllers. Given a set of controllers for related tasks, this combination creates a controller that performs a new task. It naturally weights the...

The author of this paper is the creator of the DELI open source API for Composite Capabilities / Preference Profiles (CC/PP) and UAProf, two formats for device capability negotiation based on RDF. As a result of this work, the author has observed that developers outside the Semantic Web activity are currently experiencing difficulties in deploying Semantic Web technology in real world use cases...