Hybrid Architecture Research Papers - Academia.edu (original) (raw)

A cognitive agent performing in the real world needs to learn relevant concepts about its environment (e.g., objects, color, and shapes) and react accordingly. In addition to learning the concepts, it needs to learn relations between the... more

A cognitive agent performing in the real world needs to learn relevant concepts about its environment (e.g., objects, color, and shapes) and react accordingly. In addition to learning the concepts, it needs to learn relations between the concepts, in particular spatial relations between objects. In this paper, we propose three approaches that allow a cognitive agent to learn spatial relations. First, using an embodied model, the agent learns to reach toward an object based on simple instructions involving left-right relations. Since the level of realism and its complexity does not permit large-scale and diverse experiences in this approach, we devise as a second approach a simple visual dataset for geometric feature learning and show that recent reasoning models can learn directional relations in different frames of reference. Yet, embodied and simple simulation approaches together still do not provide sufficient experiences. To close this gap, we thirdly propose utilizing knowledge...

We all are fascinated about how human brain works and why it is so superior and extraordinary. As some of the brains (Einstein, Ford, Edison and so on) in world are too resourceful and astonishing were also had the similar human brain but... more

We all are fascinated about how human brain works and why it is so superior and extraordinary. As some of the brains (Einstein, Ford, Edison and so on) in world are too resourceful and astonishing were also had the similar human brain but functioning is differ. To understand those workings, we require Blue brain. This technology is somewhere more state-of-the-art and groundbreaking than others. Even after the death of an individual, his/her brain will be alive virtually. In this paper an overview, modeling and recommendations for Blue brain has been presented for conceptual information. Through study it is also found that there are some challenges faced by this revolutionary technology. The simulation of human or mammalian brain with Blue brain is to identify the fundamental principles of brain structure and function in health and disease.

Abstract: this dissertationthat people will read. For this reason, I was tempted to put the entire text of the thesisunder this section. This would have allowed me to break the world record for the longestacknowledgments ever, but it... more

Abstract: this dissertationthat people will read. For this reason, I was tempted to put the entire text of the thesisunder this section. This would have allowed me to break the world record for the longestacknowledgments ever, but it would have also induced the opposite e#ect, i.e., decreasingdramatically the number of my readers. Anyway, let's stop beating about the bush (sooneror

Graph theory was used to analyze a series of small pseudodendrimeric structures. Descriptive indices were developed to characterize the pseudodendrimer graphs. The relative proportion of these dendrimers in typical samples was estimated... more

Graph theory was used to analyze a series of small pseudodendrimeric structures. Descriptive indices were developed to characterize the pseudodendrimer graphs. The relative proportion of these dendrimers in typical samples was estimated based on three growth models. Weighted average values for the descriptive indices over typical aggregate samples were found to differ only slightly from values for perfect dendrimers.

Object perception is a fundamental sub-field of Computer Vision, covering a multitude of individual areas and having contributed high-impact results. While Machine Learning has been traditionally applied to address related problems,... more

Object perception is a fundamental sub-field of Computer Vision, covering a multitude of individual areas and having contributed high-impact results. While Machine Learning has been traditionally applied to address related problems, recent works also seek ways to integrate knowledge engineering in order to expand the level of intelligence of the visual interpretation of objects, their properties and their relations with their environment. In this paper, we attempt a systematic investigation of how knowledge-based methods contribute to diverse object perception tasks. We review the latest achievements and identify prominent research directions.

This paper presents a new architecture called FAIS for implementing intelligent agents cooperating in a special Multi Agent environment, namely the RoboCup Rescue Simulation System. This is a layered architecture which is customized for... more

This paper presents a new architecture called FAIS for implementing intelligent agents cooperating in a special Multi Agent environment, namely the RoboCup Rescue Simulation System. This is a layered architecture which is customized for solving fire extinguishing problem. Structural decision making algorithms are combined with heuristic ones in this model, so it's a hybrid architecture.

The WiMAX is an IEEE 802.16e wireless communication standard used in wireless MAN's use LDPC codes as the error correcting codes. The throughput requirements of WiMAX standard is 75Mbps demanding high number of arithmetic operations and... more

The WiMAX is an IEEE 802.16e wireless communication standard used in wireless MAN's use LDPC codes as the error correcting codes. The throughput requirements of WiMAX standard is 75Mbps demanding high number of arithmetic operations and increased memory accesses per second. In this paper the dual diagonal structured LDPC encoder is used which reduces the encoding complexity. Horizontal TDMP Min-Sum algorithm is used for the decoding which halves the number of iterations and also leads to reduced memory footprint.

This paper presents the dialogue component of the speech translation system VERBMOBIL. In particular, it describes the Dialogue Memory which has been developed to represent contextual information acquired during dialogue processing.... more

This paper presents the dialogue component of the speech translation system VERBMOBIL. In particular, it describes the Dialogue Memory which has been developed to represent contextual information acquired during dialogue processing. Information is stored both chronologically, i.e. in the order of appearance (in the Sequence Memory) and conceptually (in the Thematic Structure). We show how the Dialogue Memory is used to draw contextual inferences, some of which serve as basis for the detection of indirect speech acts.

The goal of of sequence alignment is is to to find similarity between the different strings of of genetic information. similar characters � � similar structure

Supramolecular structures, such as micelles, liposomes, polymerosomes or dendrimerosomes, are widely studied and used as drug delivery systems. The behavior of amphiphilic building blocks strongly depends on their spatial distribution and... more

Supramolecular structures, such as micelles, liposomes, polymerosomes or dendrimerosomes, are widely studied and used as drug delivery systems. The behavior of amphiphilic building blocks strongly depends on their spatial distribution and shape of polar and nonpolar component. This report is focused on the development of new versatile synthetic protocols for amphiphilic carbosilane dendrons (amp-CS-DDNs) capable of self-assembly to regular micelles and other supramolecular objects. The presented strategy enables the fine modification of amphiphilic structure in several ways and also enables the facile connection of a desired functionality. DLS experiments demonstrated correlations between structural parameters of amp-CS-DDNs and the size of formed nanoparticles. For detailed information about the organization and spatial distribution of amp-CS-DDNs assemblies, computer simulation models were studied by using molecular dynamics in explicit water.

In this paper we describe some work aimed at upgrading the Alya code with up-to-date parallel linear solvers capable of achieving reliability, efficiency and scalability in the computation of the pressure field at each time step of the... more

In this paper we describe some work aimed at upgrading the Alya code with up-to-date parallel linear solvers capable of achieving reliability, efficiency and scalability in the computation of the pressure field at each time step of the numerical procedure for solving a LES formulation of the incompressible Navier-Stokes equations. We developed a software module in the Alya's kernel to interface the libraries included in the current version of PSCToolkit, a framework for the iterative solution of sparse linear systems on parallel distributed-memory computers by Krylov methods coupled to Algebraic MultiGrid preconditioners. The Toolkit has undergone some extensions within the EoCoE-II project with the primary goal to face the exascale challenge. Results on a realistic benchmark for airflow simulations in wind farm applications show that the PSCToolkit solvers significantly outperform the original versions of the Conjugate Gradient method available in the Alya kernel in terms of sc...

This paper discusses the psychological, philosophical, and neurological definitions of consciousness and the prospects for the development of conscious machines or robots in the foreseeable future. Various definitions of consciousness are... more

This paper discusses the psychological, philosophical, and neurological definitions of consciousness and the prospects for the development of conscious machines or robots in the foreseeable future. Various definitions of consciousness are introduced and discussed within the different fields mentioned. A conscious machine or robot may be within the realm of engineering possibilities if current technological developments, especially Moore's law, continue at their current pace. Given the complexity of cognition and consciousness a hybrid parallel architecture with significant input/output appears to offer the best solution for the implementation of a complex system of systems which functionally approximates a human mind. Ideally, this architecture would include traditional symbolic representations as well as distributed representations which approximate the nonlinear dynamics seen in the human brain.

This chapter presents DieToRecs, a novel case-based travel advisory system. DieToRecs has been designed by incorporating a human decision model that stresses individual differences in decision styles. DieToRecs supports multiple decision... more

This chapter presents DieToRecs, a novel case-based travel advisory system. DieToRecs has been designed by incorporating a human decision model that stresses individual differences in decision styles. DieToRecs supports multiple decision styles and provides personalized recommendations exploiting a case base of recommendation sessions, which are stored by the system. Users can access the system through three main functional doors that fit to complementary groups of decision styles. Whichever the door used to enter the system, users can eventually switch the type of support required. The application relies on a component-based architecture, featuring a set of computational engines. One of these engines encapsulates the core functionality of the system - the methodologies used to rank products and manage queries. Other engines are dedicated to the personalization of the GUI and to track user activity. The system has been empirically validated and represents a value-added service for f...