NDLI: Bio-inspired autonomous dynamical systems for interactive and cognitive environments

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2012 Seventh International Conference on Computer Engineering & Systems (ICCES)

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A dynamic approach to semantic content modeling embedded systems design methodology

A dynamic approach to semantic content modeling

Bio-inspired autonomous dynamical systems for interactive and cognitive environments

eMisr — Egypt Broad Band plan: The regulatory challenges

Session CN: Computer networks & security

MCDM based Joint Admission Control for Heterogeneous Wireless Networks

A new cross layer based routing technique for mobile ad hoc networks using forwarding node selection

New fuzzy-based indoor positioning scheme using ZigBee wireless protocol

Performance evaluation of digital modulation techniques used in Bluetooth physical/radio layer

On the attack of misaligned traces by power analysis methods

Dynamic security architecture for next generation wireless networks

Session CS: Control systems & robotics

Disturbance rejection adaptive control design for multi-input chaotic systems

Visual sensory system for a movable platform pose

Multi-stage localization given topological map for autonomous robots

Evolutionary computation applictaion in power level control of nuclear power station

Real-time multi-object detection and tracking for autonomous robots in uncontrolled environments

Session EC: Electronics & communications

Implementation and evaluation of variable bit rates CELP coder

Performance improvement of the OFDM system based on fractional Fourier transform over doubly dispersive channels

Efficient sensitivity analysis of optical structures using Finite Element Method

Legendre neural networks with multi input multi output system equations

Memristor-based relaxation oscillators using digital gates

Memristor-based oscillator using Deboo integrator

Session EV: Evolutionary computing

Single multiplicative neuron model based on generalized mean

Error detection and correction approach for Arabic sign language recognition

A Neural Network preprocessing model for OMI Aerosol Optical Depth data assimilation

Semantic graph reduction approach for abstractive Text Summarization

Session IP1: Image processing (I)

Hybrid scheme for lifting based image coding

Color restoration of old photos using the curvelet transform

A new symmetry detection approach in IC layouts

Session IP2: Image processing (II)

Statistical vs. visual data generation in hand gesture recognition

Biometric OAuth service based on finger-knuckles

Multimodal biometric authentication algorithm using ear and finger knuckle images

Experimental comparison of classifiers for breast cancer diagnosis

A novel feature set for deployment in ECG based biometrics

Session MU: Multimedia & web applications

GPU implementation for hyperspectral image analysis using Recursive Hierarchical Segmentation

Kernel-PCA for face recognition in different color spaces

Secure and robust high quality DWT domain audio watermarking algorithm with binary image

Session PM: Electrical power & machines

Optimal conductor selection and capacitor placement for loss reduction of radial distribution systems by selective particle swarm optimization

Modeling and simulation of volture piezoelectric energy harvester

Comparison between resistive and inductive superconducting fault current limiters for fault current limiting

Performance of adaptive modulation with generalized selection combining in different practical scenarios

Session SD1: Software engineering & databases (I)

Ontology-based model for Rational Unified Process artifacts traceability

Automatic generation of multi-testing types test cases using requirements-based testing

An evaluation of enterprise architecture frameworks for e-government

Argumentation based negotiation in multiagent system

Intelligent negotiation agent in plastic market

Session SD2: Software engineering & databases (II)

Ranking in uncertain distributed database environments

Mobile Development Process Spiral

Efficient soft relational clustering based on randomized search applied to selection of bio-basis for amino acid sequence analysis

Automatic Pseudo-Random Regression testing for GUI-centric embedded software

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2006 International Conference on Computer Engineering and Systems

Bio-inspired autonomous dynamical systems for interactive and cognitive environments

Content Provider	IEEE Xplore Digital Library
Author	Regazzoni, C.S.
Copyright Year	2012
Description	Author affiliation: DITEN - University of Genova, Genova, Italy (Regazzoni, C.S.)
Abstract	Interaction and cognition are two strictly related functionalities of biological systems that are not necessary considered as joint aspects when the development is considered of artificial autonomous dynamical systems. In particular, many evidences from neurosciences [1] tell us that cognitive reasoning on world states and events in biological entities can be described in terms of a joint (distributed) dynamical representation of the interaction of the (represented) internal states of an organism with the (represented) states of the objects that move in the contextual scenario. Such a joint representation of dispositional and situation based knowledge [2] is a key aspect within current neuroscience models to explain higher level performances of natural cognitive systems. As reverse engineering of brain working modalities [3] [4] is showing that new computational approaches can be inspired by studies of human brain functioning not only at neuron level but also in terms of higher level functionalities it becomes of interest to investigate what could be the impact of including new basic object representations within autonomous dynamical systems aiming at providing services within cognitive environments. In this talk, a brief overview of Cognitive Systems, namely, using terminology introduced by Simon Haykin [5], Cognitive Dynamical Systems will be provided. The concept of cognitive cycle and the models are presented so far proposed to represent under a single category systems like Cognitive Radios, Cognitive Radar, Cognitive Surveillance, etc. Then, the problem of the impact of selecting appropriate representations of joint dispositional-situational knowledge on the architecture and inference processes of Cognitive dynamical systems will be addressed. In particular, the possibility and the techniques suitable for of using new Probabilistic Graphical Models (PGM [6]), namely a new type of Coupled Dynamical Bayesian Networks (ICASSP 2012 [7]) for describing interactions between systems “dispositions” and contextual “situations” will be introduced that resonates with Damasio's theories. It will be shown that such models are capable to describe both observed interactions and dynamical interactions involving system's interactions with external users/operators. This capability will be shown to be a key issue in allowing a system to re-use interaction knowledge learned by observing external interacting entities as a basic knowledge to perform the same type of interactions when required to do, provided that the considered problem allows a mapping from observation space into an internal system action space. Examples coming from running projects will be provided that concern with Cognitive multisensory surveillance: in particular related crowd behavior monitoring and control will be considered where an operator based control of a cognitive environment will be shown to be learned by an autonomous dynamical system on the basis of the same knowledge representation that the system uses for describing interactions between observed entities. Other examples describing other application fields, like intention based driver assistance in intelligent vehicles and security in cognitive radio networks will be discussed.
File Size	666838
File Format	PDF
ISBN	9781467329606
e-ISBN	9781467329613
DOI	10.1109/ICCES.2012.6408461
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-27
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Synopsis

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