'Emergent behavior' presentation slideshows

Robotic Architectures

Lezione 8. Robotic Architectures. Robotic architecture. Computer architecture : discipline devoted to the design of highly specific and individual computers from a collection of common building blocks Robotic architecture :

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Nonlocality and Stochasticity in Emergent / Quantum Gravity

Nonlocality and Stochasticity in Emergent / Quantum Gravity. B. L. Hu Maryland Center for Fundamental Physics, University of Maryland, College Park Taitung, Jan. 10, 2008. Quantum : micro (Quantum Field Theory) Gravity : Macro (General Relativity).

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Goal: Programming Computational Matter

Goal: Programming Computational Matter. Develop engineering principles and programming techniques for directing the behavior of systems composed of myriad potentially unreliable and inaccurately manufactured parts Exploit such systems for implementing and managing sensors and effectors.

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Autonomous Mobile Robots CPE 470/670

Autonomous Mobile Robots CPE 470/670. Lecture 11 Instructor: Monica Nicolescu. Review. Expression of behaviors Stimulus Response Finite State Acceptor Situated Automata Behavioral encoding Discrete: rule-based systems Continuous: potential fields, motor schemas. Examples of Schemas.

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ABSVal

ABSVal. Goal: Adapt accepted Best Practices of VV&A * to simulation models that... Display emergent behavior Are used to model military effects on population dynamics and social phenomena as well as military decision making Support analyses. *maybe refine the general Best Practices.

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Emergence Gateways to Emergence in Quantum Matter

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SENSIBLE VALIDATION FOR IW SIMULATIONS

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Topics: Introduction to Robotics CS 491/691(X)

Topics: Introduction to Robotics CS 491/691(X). Lecture 11 Instructor: Monica Nicolescu. Review. Expression of behaviors Stimulus Response Finite State Acceptor Situated Automata Behavioral encoding Discrete: rule-based systems Continuous: potential fields, motor schemas

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Topics: Introduction to Robotics CS 491/691(X)

Topics: Introduction to Robotics CS 491/691(X). Lecture 11 Instructor: Monica Nicolescu. Review. Expression of behaviors Stimulus Response Finite State Acceptor Situated Automata Behavioral encoding Discrete: rule-based systems Continuous: potential fields, motor schemas

376 views • 36 slides

UAST and Evolving Systems of Systems in the Age of the Black Swan

UAST and Evolving Systems of Systems in the Age of the Black Swan Part 2: On Detecting Aberrant Behavior. www.parshift.com/Files/PsiDocs/Pap090901IteaJ-PathsForPeerBehaviorMonitoringAmongUAS.pdf www.parshift.com/Files/PsiDocs/Pap091201IteaJ-MethodsForPeerBehaviorMonitoringAmongUas.pdf.

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Autonomous Mobile Robots CPE 470/670

Autonomous Mobile Robots CPE 470/670. Lecture 10 Instructor: Monica Nicolescu. What Is a Behavior?. Behavior-achieving modules Rules of implementation Behaviors achieve or maintain particular goals (homing, wall-following) Behaviors are time-extended processes

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The Cross Study of Nonlinear Modeling Methods

The Cross Study of Nonlinear Modeling Methods. Hans J. (Jochen) Scholl University at Albany / SUNY. What has this topic to do with Information Science?. Why has it NOT to do with Information Science?

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Conquering Complexity Building Systems with Billions of Parts

Conquering Complexity Building Systems with Billions of Parts. Participants (at the end): Rod Brooks, Seth Copen Goldstein, Anant Jhingran, Len Kleinrock, Richard Newton, Steve Reiss, Bob Sproull June 25, 2002. Conquering Complexity Building Systems with Billions of Parts.

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Group Behavior

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Physics Based Formation Behavior in Autonomous Robots

Physics Based Formation Behavior in Autonomous Robots. Mark Patterson. Emergent Behavior. Emergent or global behavior is observed in the interactions between homogeneous robots. Autonomy / Independence Local decision procedures Social based and hierarchal based behavior

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Complex Systems for Systems Engineering

Complex Systems for Systems Engineering. Sarah Sheard. Agenda. Systems of systems Characteristics of complex systems Three examples of systems that are complex systems Principles for systems engineers. 5. Complex adaptive systems (nonlinear, multi-agent, evolving, emergent...).

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Logistics Working Group Report to the ANT P/I Meeting 18 November, 1999

Logistics Working Group Report to the ANT P/I Meeting 18 November, 1999. Bob Neches, Pedro Szekely, George Bloor, Robert Young, Chidambaram Vishwanath, Roger Dziegiel Jr., Gabor Karsai, Jon Doyle, Ken Blemel, Benoit Dawant, COL Russ Currer. Overview. Goals Explore synergy opportunities

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Bender, Duine , and Tserkovnyak , Phys. Rev. Lett . 108 , 246601 (2012)

Pumping of Bose-Einstein-Condensed Magnons Yaroslav Tserkovnyak , University of California-Los Angeles, DMR 0840965.

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An Experiential Pedagogy for Sustainability Ethics

An Experiential Pedagogy for Sustainability Ethics. Abstract :

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HASE 2014 15 th IEEE International Symposium on High Assurance Systems Engineering

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