Methods and Models in Artificial and Natural Computation: A Homage to Professor Mira's Scientific Legacy

ISBN-13: 9783642022630 / Angielski / Miękka / 2009 / 556 str.

Josa(c) Mira

Opis

Continuing Professor Mira's Scienti?c Navigation Professor Jos e Mira passed away during the preparation of this edition of the International Work-Conference on the Interplay Between Natural and Arti?cial Computation. As a pioneer in the ?eld of cybernetics, he enthusiastically p- moted interdisciplinary research. The term cybernetics stems from the Greek K (kybernetes), which means steersman, governor, or pilot, the same root as government. Cybernetics is a broad ?eld of study, but the essential goal ofcybernetics is to understandandde?ne the functions andprocessesofsystems that have goals, and promote circular, causal chains that move from action to sensing to comparison with a desired goal, and again to action. These de?- tions can be applied to Prof. Mira. He was a leader, a pilot, with a visionary and extraordinary capacity to guide his students and colleagues to the desired objective. In this way he promoted the study and understanding of biological functions for creating new computational paradigms able to solve known pr- lems in a more e?cient way than classical approaches. But he also impressed his magni?cent and generous character on all the researchers and friends that workedwith him, imprinting in all ofus high requirementsof excellence not only as scientists, but also as human beings. Weallrememberhisenthusiasticexplanationaboutthedomainsandlevelsin the computational paradigm(CP).

Spis treści

A Model of Low Level Co-operativity in Cerebral Dynamic.- On Bridging the Gap between Human Knowledge and Computers: A Personal Tribute in Memory of Prof. J. Mira.- Personal Notes about the Figure and Legate of Professor Mira.- Intelligent Patient Monitoring: From Hardware to Learnware.- A Look toward the Past of My Work with the Professor José Mira.- Remembering José Mira.- Revisiting Algorithmic Lateral Inhibition and Accumulative Computation.- Detection of Speech Dynamics by Neuromorphic Units.- Spatio-temporal Computation with Neural Sensorial Maps.- Knowledge-Based Systems: A Tool for Distance Education.- ANLAGIS: Adaptive Neuron-Like Network Based on Learning Automata Theory and Granular Inference Systems with Applications to Pattern Recognition and Machine Learning.- Neural Prosthetic Interfaces with the Central Nervous System: Current Status and Future Prospects.- Analytical Models for Transient Responses in the Retina.- Analysis of Retinal Ganglion Cells Population Responses Using Information Theory and Artificial Neural Networks: Towards Functional Cell Identification.- On Cumulative Entropies and Lifetime Estimations.- Activity Modulation in Human Neuroblastoma Cultured Cells: Towards a Biological Neuroprocessor.- A Network of Coupled Pyramidal Neurons Behaves as a Coincidence Detector.- Characterisation of Multiple Patterns of Activity in Networks of Relaxation Oscillators with Inhibitory and Electrical Coupling.- Scaling Power Laws in the Restoration of Perception with Increasing Stimulus in Deficitary Natural Neural Network.- Neuron-Less Neural-Like Networks with Exponential Association Capacity at Tabula Rasa.- Brain Complexity: Analysis, Models and Limits of Understanding.- Classifying a New Descriptor Based on Marr’s Visual Theory.- Solving the Independent Set Problem by Using Tissue-Like P Systems with Cell Division.- How to Do Recombination in Evolution Strategies: An Empirical Study.- Serial Evolution.- A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms.- A Genetic Algorithm for the Open Shop Problem with Uncertain Durations.- Genetic Algorithm Combined with Tabu Search for the Job Shop Scheduling Problem with Setup Times.- Prediction and Inheritance of Phenotypes.- Controlling Particle Trajectories in a Multi-swarm Approach for Dynamic Optimization Problems.- Clustering Ensembles Using Ants Algorithm.- The kNN-TD Reinforcement Learning Algorithm.- Recombination Patterns for Natural Syntax.- Computing Natural Language with Biomolecules: Overview and Challenges.- A Christiansen Grammar for Universal Splicing Systems.- DNA Replication as a Model for Computational Linguistics.- jNEPView: A Graphical Trace Viewer for the Simulations of NEPs.- The Problem of Constructing General-Purpose Semantic Search Engines.- Computational Agents to Model Knowledge - Theory, and Practice in Visual Surveillance.- Knowledge and Event-Based System for Video-Surveillance Tasks.- ARDIS: Knowledge-Based Dynamic Architecture for Real-Time Surface Visual Inspection.- SONAR: A Semantically Empowered Financial Search Engine.- KBS in Context Aware Applications: Commercial Tools.- An Architecture Proposal for Adaptive Neuropsychological Assessment.- A Study of Applying Knowledge Modelling to Evidence-Based Guidelines.- Fuzzy Classification of Mortality by Infection of Severe Burnt Patients Using Multiobjective Evolutionary Algorithms.- Knowledge Based Information Retrieval with an Adaptive Hypermedia System.- Reveal the Collaboration in a Open Learning Environment.- Reasoning on the Evaluation of Wildfires Risk Using the Receiver Operating Characteristic Curve and MODIS Images.- Optimised Particle Filter Approaches to Object Tracking in Video Sequences.- Towards Interoperability in Tracking Systems: An Ontology-Based Approach.- Multimodal Agents in Second Life and the New Agents of Virtual 3D Environments.- Application of Artificial Neural Networks to Complex Dielectric Constant Estimation from Free-Space Measurements.

Blurb

The two-volume set LNCS 5601 and LNCS 5602 constitutes the refereed proceedings of the Third International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2009, held in Santiago de Compostela, Spain, in June 2009.

The 108 revised papers presented are thematically divided into two volumes. The first volume includes papers relating the most recent collaborations with Professor Mira and contributions mainly related with theoretical, conceptual and methodological aspects linking AI and knowledge engineering with neurophysiology, clinics and cognition. The second volume contains all the contributions connected with biologically inspired methods and techniques for solving AI and knowledge engineering problems in different application domains.