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Yayın Architectural design by cognitive computing(Institute of Electrical and Electronics Engineers Inc., 2015) Ciftcioglu O.; Bittermann M.S.Cognition is one of the important and ubiquitous manifestations of human mind. Cognition is a subject of cognitive science which spans cognitive psychology, neurobiology and computational intelligence of engineering sciences. In this work the computational cognition is the subject-matter for investigation and architectural design is the particular application goal in mind. It is the essential mechanism in design involving novelty, creativity and elegance. Due to the complexity of the cognition phenomenon, its characteristic properties have not been fully understood and therefore reproduced computationally up till now. This research aims to establish a novel computational model for cognition and also comprehension which is a deeper but more essential concept relevant to human mind activity. It simulates the cognitive activity based on the mind activity of human so far assumed to be known to us. The outcome of this computational brain research is exemplified by an architectural design task demonstrating its effectiveness in actual use in real-life executions. © 2015 IEEE.Yayın Architectural design computing supported by multi-objective optimization(Institute of Electrical and Electronics Engineers Inc., 2015) Bittermann M.S.; Ciftcioglu O.Studies on computer-based perception by vision modeling are described and applied to architectural design computation supported by multi-objective optimization. The visual perception is modeled from the computational viewpoint, where the model gives a probabilistic assessment for perceiving of an object. The computational visual perception is an important step in architectural design. Further, mention may be made to general design and monitoring applications. By means of computer experiments in a virtual environment the verification of the theoretical considerations are presented, and the far reaching implications of the studies are pointed out. © 2015 IEEE.Yayın Computational cognitive color perception(Institute of Electrical and Electronics Engineers Inc., 2016) Ciftcioglu O.; Bittermann M.S.Comprehension of aesthetical color characteristics based on a computational model of visual perception and color cognition are presented. The computational comprehension is manifested by the machine's capability of instantly assigning appropriate colors to the objects perceived. They form a scene with aesthetically pleasing characteristics. The present approach to computational cognition is principally the same as contrived earlier [1]. This work distinguishes itself from the earlier work through the involvement of color differences. The color difference computations are carried out based on a standard human color observer model. The color difference information is combined with geometric perception information using the method of fuzzy neural tree based on likelihood. The study exemplifies the suitability of the computational cognition for modeling cognition phenomenon. Cognitive color perception in computational form has generic relevance to applications involving human-like aesthetical appreciation, as is the case in building architecture, for instance and other design tasks. © 2016 IEEE.Yayın Conceptual airport terminal design using evolutionary computation(Institute of Electrical and Electronics Engineers Inc., 2015) Chatzikonstantinou I.; Sariyildiz S.; Bittermann M.S.Passenger terminals are very complex buildings not only in their function, form and structure but also in infrastructure, security, comfort, energy, which deal with huge investments, both in terms of capital, as well as in terms of resources and environmental impact. As such, it is expected that they are designed to fulfill their purpose while minimizing their negative aspects to the environment. Identifying design solutions that satisfy these goals is a challenging task due to the complexity involved. The design task is characterized by excessive number of solutions, conflicting goals and complex relations between design decision variables, objectives and constraints. As such, appropriate, informed decisions, that integrate as many design aspects as possible, should be ensured as early as the conceptual stage of the design. In this study, the problem of conceptual airport terminal design is addressed by means of computational decision support methodologies. The proposed method is based on the integration of the following components: i. A parametric modeling approach, for enabling the instantaneous generation of a wide variety of designs, II. A multi-faceted evaluation scheme, which integrates functional, energy and architectural aspects, IIi. A Multi-Objective Genetic Algorithm, namely the NSGA-II, to identify well performing solutions. A computational model implementing the method is outlined, and validation of the method is performed, based on two different scenarios, corresponding to commonly occurring airport configurations. The performance of two optimization runs with different population sizes, as well as qualitative aspects of the resulting solutions is discussed. © 2015 IEEE.Yayın Further note on the probabilistic constraint handling(Institute of Electrical and Electronics Engineers Inc., 2016) Ciftcioglu O.; Bittermann M.S.; Datta R.A robust probabilistic constraint handling approach in the framework of joint evolutionary-classical optimization has been presented earlier. In this work, the theoretical foundations of the method are presented in detail. The method is known as bi-objective method, where the conventional penalty function approach is implemented. The present work highlights the dynamic variation of the commensurate penalty parameter for each objective treated as constraint. It is shown that the constraint parameters collectively define the right slope of the tangent as to the optimal front during the search. The robust and sustained convergence throughout the search up to micro level in the range of 10 -10 or beyond is explained. The work here is presented as a further note in connection with the previous publication, where the subtle theoretical considerations and their details had been omitted for the sake of detailed results of the experiments demonstrating the effective working of the approach. In contrast to the implementation-centered reporting of the previous work, this work can be considered as a description of the detailed probabilistic basis underlying the previous work. Therefore, this study is of great importance to let the researchers conveniently gain the insight into the work and its implications reported earlier. © 2016 IEEE.Yayın Generic cognitive computing for cognition(Institute of Electrical and Electronics Engineers Inc., 2015) Ciftcioglu O.; Bittermann M.S.Cognition is a subject of cognitive science which spans a large domain of disciplines from neuroscience and computational intelligence of engineering sciences. It refers to the ability for processing information applying knowledge. This research aims to establish a generic computational model for cognition to gain insight into computational cognition and comprehension. Comprehension is a deeper, yet more essential concept relevant to human mind activity. The work is exciting not only because it sheds some light on cognitive computation for mimicking the complex brain processes as computational cognition and comprehension, but it also provides an apparent liaison between neuro science and computational neuro science. The work is exemplified by a generic cognition theme, and the subject-matter of the work, i.e. computational cognition, is applied to it. The validity of the model is demonstrated by surprisingly accurate outcomes. © 2015 IEEE.Yayın Situated color aesthetics by evolutionary computation(Institute of Electrical and Electronics Engineers Inc., 2017) Bittermann M.S.; Ciftcioglu Ö.In a previous publication by the same authors, a computational design system was described that identifies aesthetical color combinations. In that work the type of color aesthetics pursued was to be determined prior to the design representing a given design objective. Complementing the previous study, in this work, the type of color aesthetics that is most suitable for a given scene at hand is pursued taking into account the color and geometry of an existing situation. This is accomplished by bringing the parameter that characterizes the type of aesthetics into computational design, i.e. treating it as one of the components of the decision variable vector subject to identification by multi-objective evolutionary search. The parameter's influence on aesthetics is investigated theoretically, as well as by means of computer experiments. The contribution of the study to Architecture is provision of a firm base for some common architectural knowledge as to the color aesthetics of buildings. In particular light is shed on the aesthetical dependence of a building's color to the color of its environment. © 2017 IEEE.Yayın Visual perception with color for architectural aesthetics(Institute of Electrical and Electronics Engineers Inc., 2016) Bittermann M.S.; Ciftcioglu O.Studies on computer-based visual perception and aesthetical judgment for architectural design are presented. In the model, both color and the geometric aspects of human vision are jointly taken into account, quantifying the perception of an individual object, as well as a scene consisting of several objects. This is accomplished by fuzzy neural tree processing. Based on the perception model, aesthetical color compositions are identified for a scene using multi-objective evolutionary algorithm. The methodology is described together with associated computer experiments verifying the theoretical considerations. Modeling of aesthetical judgment is a significant step for applications, where human-like visual perception and cognition are of concern. Examples of such applications are architectural design, product design, and urbanism. © 2016 IEEE.
