'Swarm intelligence' diaporamas de présentation

Swarm Intelligent Networking

Swarm Intelligent Networking. Martin Roth Cornell University Wednesday, April 23, 2003. What is Swarm Intelligence?. Swarm Intelligence (SI) is the local interaction of many simple agents to achieve a global goal Emergence Unique global behavior arising from the interaction of many agents

861 views • 70 slides

The Past, Present, and Future of Robotics

The Past, Present, and Future of Robotics. CMSC 479/679 May 3rd, 2010. 1400 BC. Babylonians develop the clepsydra, a clock that measures time using the flow of water. It's considered one of the first "robotic" devices in history. For centuries, inventors will refine the design. 322 BC.

771 views • 53 slides

Swarm Intelligence

Swarm Intelligence. ???. Content. Overview Swarm Particle Optimization (PSO) Example Ant Colony Optimization (ACO). Swarm Intelligence. Overview. Swarm Intelligence.

1.01k views • 45 slides

14.Evolution

14.Evolution. " evolution: The gradual process by which the present diversity of plant and animal life arose from the earliest and most primitive organisms, which is believed to have been continuing for the past 3000 million years."

597 views • 41 slides

Chapter 10: Swarm Intelligence

Chapter 10: Swarm Intelligence. 22c: 145, UI. Outline. Introduction (Swarm intelligence) Natural behavior of ants First Algorithm: Ant System Improvements to Ant System Applications. Swarm Intelligence.

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Swarms and Crowds

Swarms and Crowds. Kristen Gardner. Outline. Swarm Intelligence Flocking Basic Steering Swarms Applications Animals Vehicles People. Swarm Intelligence. What is it? Artificial intelligence that is based on collective behavior of decentralized, self organized systems Examples?

589 views • 37 slides

Nature inspired metaheuristics

Nature inspired metaheuristics. Metaheuristics Swarm Intelligence Ant Colony Optimization Particle Swarm Optimization Artificial Bees Colony. Metaheuristics. Metaheuristic:

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Chapter 4 DECISION SUPPORT AND ARTIFICIAL INTELLIGENCE Brainpower for Your Business

Chapter 4 DECISION SUPPORT AND ARTIFICIAL INTELLIGENCE Brainpower for Your Business. STUDENT LEARNING OUTCOMES. VISUALIZING INFORMATION IN MAP FORM FOR DECISION MAKING. INTRODUCTION. 4 Phases of decision making. Four Phases of Decision Making. Types of Decisions You Face.

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Applying Particle Swarm Optimization to transmit video over wireless ZigBee network

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Swarm Intelligence: The Method Behind the Mobs

B io- E ngineering for the E xploration of S pace. BEES. Swarm Intelligence: The Method Behind the Mobs. Robert J. Marks II Distinguished Professor of Electrical & Computer Engineering, Baylor University. NASA Office of Biological and Physical Research Program Review

406 views • 27 slides

Evolutionary Computation

Evolutionary Computation. Biologically inspired algorithms. BY: Andy Garrett YE Ziyu. What is Evolutionary Computation. A subfield of artificial intelligence which mimics biology Used in optimization of black box problems Parallel processing. Types of Evolutionary Computation.

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Intelligent Systems

404 views • 25 slides

Biologically Inspired Computation

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Biologically Inspired Computation

356 views • 24 slides

What is Swarm Robotics?

The WolfBot: Swarm Robotics Platform with Image Processing Applications Jimit Patel Dr. Edgar Lobaton Department of Electrical and Computer Engineering North Carolina State University. What is Swarm Robotics?. Multi-robot system inspired from social insects

400 views • 19 slides

Brief History of Artificial Life

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DRILL

340 views • 15 slides

Anonymous Traffic Collision Avoidance System (ATCAS)

Anonymous Traffic Collision Avoidance System (ATCAS). by David Bonatz. CS 410 09/17/2007. Societal Problem. The current collision avoidance system (TCAS II) costs on average $200,000 per aircraft, 3 and it is only capable of performing vertical advisories to avoid collisions.

336 views • 12 slides

DRILL

248 views • 11 slides

Swarm Intelligence / Agent-based Modeling and Simulation

202 views • 2 slides