Adaptive Neurodynamics

Adaptive Neurodynamics

Mario Negrello (Fraunhofer IAIS, Germany), Martin Huelse (University of Wales, UK) and Frank Pasemann (Fraunhofer IAIS, Germany)
Copyright: © 2008 |Pages: 27
DOI: 10.4018/978-1-59904-962-5.ch004
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Abstract

Neurodynamics is the application of Dynamical system’s theory (DST) to the analysis of the structure and function of recurrent neural networks (RNNs). In this chapter, we present recurrent neural networks artificially evolved for the control of autonomous robots (Evolutionary Robotics), and further analysed within dynamical system’s tenets (Neurodynamics). We search for the characteristic dynamical entities (e.g. attractor landscapes) that arise from being-environment interactions that underpin the adaptation of animat’s (biologically inspired robots). In that way, when an efficient controller is evolved, we are able to pinpoint the reasons for its success in terms of the dynamical characteristics of the evolved networks. The approach is exemplified with the dynamical analysis of an evolved network controller for a small robot that maximizes exploration, while controlling its energy reserves, by resorting to different periodic attractors. Contrasted to other approaches to the study of neural function, neurodynamics’ edge results from causally traceable explanations of behavior, contraposed to just correlations. We conclude with a short discussion about other approaches for artificial brain design, challenges, and future perspectives for Neurodynamics.

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Table of Contents
Foreword
John Foster
Preface
Yin Shan, Ang Yang
Chapter 1
Raymond Chiong, Lubo Jankovic
IThis chapter presents a method on modelling the economy market using agent-based representation and iterated prisoner’s dilemma (IPD). While IPD... Sample PDF
Agent Strategies in Economy Market
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Chapter 2
Stefano De Luca, Walter Quattrociocchi
In this paper we present a new agent-based model, CDYS – Complex DYnamic System, for intelligent, flexible, and context-aware multi-modal... Sample PDF
Dynamic Contexts and Concepts as a Set of State Variations Under Emerging Functions: A Logical Model for Evolving Ontologies and Autopoietic Multi-Agent Systems
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Chapter 3
Cellular Automata  (pages 57-84)
Terry Bossomaier
In this chapter we present a view of cellular automata (CAs) as the quintessential complex system and how they can be used for complex systems... Sample PDF
Cellular Automata
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Chapter 4
Adaptive Neurodynamics  (pages 85-111)
Mario Negrello, Martin Huelse, Frank Pasemann
Neurodynamics is the application of Dynamical system’s theory (DST) to the analysis of the structure and function of recurrent neural networks... Sample PDF
Adaptive Neurodynamics
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Chapter 5
Nazmun N. Ratna, Anne Dray, Pascal Perez, R. Quentin Grafton, Tom Kompas
In this paper we apply Agent-Based Modelling (ABM) to capture the complexity of the diffusion process depicted in Medical Innovation, the classic... Sample PDF
Innovation Diffusion Among Heterogeneous Agents: Exploring Complexity with Agent-Based Modelling (ABM)
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Chapter 6
Teresa Satterfield
Multi-scale “artificial societies” are constructed to examine competing first- and second-language acquisition-based theories of creole language... Sample PDF
Unique Applications of Multi-Agent Models in Uncovering Language Learning Processes
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Chapter 7
Paolo Turrini, Mario Paolucci, Rosaria Conte
This chapter presents a theory of reputation seen as the result of evaluation spreading in a multi-agent system (MAS). In particular the capacities... Sample PDF
The Intelligence of Rumors: A Cross-Methodological Approach to Social Belief Dynamics
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Chapter 8
Carl Henning Reschke, Sascha Kraus
This chapter sketches a strategic map of a selection of the relevant issues at the intersection of economics, psychology, sociology, and... Sample PDF
Strategic Management, Evolutionary Economics, and Complex Adaptive Systems
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Chapter 9
Jan Sudeikat, Wolfgang Renz
Agent Oriented Software-Engineering (AOSE) proposes the design of distributed software systems as collections of autonomous and pro-active actors... Sample PDF
Building Complex Adaptive Systems: On Engineering Self-Organizing Multi-Agent Systems
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Chapter 10
Alexander Outkin, Silvio Flaim, Andy Seirp, Julia Gavrilov
We present in this chapter an overview of a financial system model (FinSim) created by the authors at the Los Alamos National Laboratory. The... Sample PDF
FinSim: A Framework for Modeling Financial System Interdependencies
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Chapter 11
Kimberly Holloman
The United States and many of its coalition partners have initiated a broad program of reform aimed at transforming their defensive capabilities to... Sample PDF
Complex Adaptive Systems Theory and Military Transformation
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Chapter 12
Katia Sycara, Paul Scerri, Anton Chechetka
In this chapter, we explore the use of evolutionary game theory (EGT) (Weibull, 1995; Taylor & Jonker, 1978; Nowak & May, 1993) to model the... Sample PDF
Insights into the Impact of Social Networks on Evolutionary Games
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About the Contributors