WorldCat Identities

Hubler, Alfred J.

Works: 11 works in 21 publications in 2 languages and 136 library holdings
Roles: Author
Classifications: PT187, 809.02
Publication Timeline
Most widely held works about Alfred J Hubler
Most widely held works by Alfred J Hubler
Ständetexte des Mittelalters : Analysen zur Intention und kognitiven Struktur by Alfred J Hubler( Book )

10 editions published between 1992 and 1993 in German and held by 118 WorldCat member libraries worldwide

Covering the plane by digital curves and contours by Alfred J Hubler( Book )

2 editions published in 1993 in German and English and held by 7 WorldCat member libraries worldwide

Geometric methods for optimizing ramified flow networks by Martin S Singleton( )

1 edition published in 2011 in English and held by 2 WorldCat member libraries worldwide

Using geometrically based approaches, optimal characteristics of nonlinear flow networks were examined. The first model studied was that of a fractal-like desalination plant. Solving the equations of diffusion by analogy to electrostatics, desalination graphs superimposed on the diffusion gradients were optimized to produce maximal water flow. Graphs were generated while varying branching angles and ratios to determine optimal morphologies. Three different boundary conditions are discussed, those of constant pressure difference, constant water flow rate, and constant absorber salinity. Another type of flow network, that of the perceptron, was analyzed from the point of view of its attractors in order to determine which patterns resonated with the network. Using the definition of resonance as learning rapidity, convergence rates were studied by calculating the mean paths to convergence for perceptron weights. Polynomial expressions were given for the mean and variance steps to convergence, which depended upon two dimensionless geometric parameters
Reduction of Complexity by Optimal Driving Forces( Book )

1 edition published in 1989 in English and held by 1 WorldCat member library worldwide

In general nonlinear waves are not stable in a chain of finite length. Since they have a finite lifetime, it is important to investigate the production of nonlinear waves, e.g. the production of solitons. A general feature of nonlinear waves is the amplitude frequency coupling, which causes the excitation by sinusoidal driving forces to be very inefficient. The response is usually very complex in addition. We present a method to calculate special aperiodic driving forces, which generates nonlinear waves very efficiently. The response to these driving forces is very simple
TDDFT calculations for excitation spectra of solids and superstructures utilizing mGGA by Zhenhua Ning( )

1 edition published in 2015 in English and held by 1 WorldCat member library worldwide

Universal Properties of the Resonance Curve of Complex Systems( Book )

1 edition published in 1989 in English and held by 1 WorldCat member library worldwide

The dynamics of a large variety of complex systems are confined to a low-dimensional manifold. We show that the resonance curve of those systems has a universal shape. The parameters of the resonance curve can be used to characterize a complex system
Brain-machine interface coupled cognitive sensory fusion with a Kohonen and reservoir computing scheme by Onyeama E Osuagwu( )

1 edition published in 2015 in English and held by 1 WorldCat member library worldwide

Artificial Intelligence (AI) has been a source of great intrigue and has spawned many questions regarding the human condition and the core of what it means to be a sentient entity. The field has bifurcated into so-called “weak” and “strong” artificial intelligence. In weak artificial intelligence reside the forms of automation and data mining that we interact with on a daily basis. Strong artificial intelligence can be best defined as a “synthetic” being with cognitive abilities and the capacity for presence of mind that we would normally associate with humankind. We feel that this distinction is misguided. First, we begin with the statement that intelligence lies on a spectrum, even in artificial systems. The fact that our systems currently can be considered weak artificial intelligence does not preclude our ability to develop an understanding that can lead us to more complex behavior. In this research, we utilized neural feedback via electroencephalogram (EEG) data to develop an emotional landscape for linguistic interaction via the android's sensory fields which we consider to be part and parcel of embodied cognition. We have also given the iCub child android the instinct to babble the words it has learned. This is a skill that we leveraged for low-level linguistic acquisition in the latter part of this research, the slightly stronger artificial intelligence goal. This research is motivated by two main questions regarding intelligence: Is intelligence an emergent phenomenon? And, if so, can multi-modal sensory information and a term coined called “co-intelligence” which is a shared sensory experience via coupling EEG input, assist in the development of representations in the mind that we colloquially refer to as language? Given that it is not reasonable to program all of the activities needed to foster intelligence in artificial systems, our hope is that these types of forays will set the stage for further development of stronger artificial intelligence constructs. We have incorporated self-organizing processes - i.e. Kohonen maps, hidden Markov models for the speech, language development and emotional information via neural data - to help lay the substrate for emergence. Next, homage is given to the central and unique role played in intellectual study by language. We have also developed rudimentary associative memory for the iCub that is derived from the aforementioned sensory input that was collected. We formalized this process only as needed, but that is based on the assumption that mind, brain and language can be represented using the mathematics and logic of the day without contradiction. We have some reservations regarding this statement, but unfortunately a proof is a task beyond the scope of this Ph.D. Finally, this data from the coupling of the EEG and the other sensory modes of embodied cognition is used to interact with a reservoir computing recurrent neural network in an attempt to produce simple language interaction, e.g. babbling, from the child android
Prediction and adaptation in an evolving chaotic environment by Alfred J Hubler( Book )

1 edition published in 1993 in English and held by 0 WorldCat member libraries worldwide

Der soziale Ordo-Gedanken in der didaktisch-parämitischen Literatur des 12. und 13. Jahrhunderts by Alfred J Hubler( Book )

1 edition published in 1986 in German and held by 0 WorldCat member libraries worldwide

Audience Level
Audience Level
  Kids General Special  
Audience level: 0.81 (from 0.44 for Linwood Pa ... to 1.00 for Reduction ...)

German (12)

English (9)