ENACTION, EMBODIMENT, EVOLUTIONARY ROBOTICS: SIMULATION MODELS FOR A POST-COGNITIVIST SCIENCE OF MIND (ATLANTIS THINKING MACHINES)

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Author: Marieke Rohde
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  • Introduction to Robotics Chapter 2 Objectives Objectives Understand how robotics fits in to computer science Understand some typical uses of robots today and the types of problems addressed in robotics. Understand the Boe-Bot robot that you will
     

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  • A Survey of Socially Interactive Robots Terrance Fong, Illah Nourbakhsh, Kerstin Dautenhahn Presentation by Dan Hartmann 4/12/2007 dhartman, CS296-3 1 Context - History The first work in social robotics involved stigmergy as a model for behav
     

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  • Towards Semiotic Agent-Based Models of Socio-Technical Organizations Cliff Joslyn and Luis M. Rocha Los Alamos National Laboratory MS B265, Los Alamos, New Mexico 87545 {joslyn,rocha}@lanl.gov, http:/www.c3.lanl.gov/~{joslyn,rocha} Extended abstract
     

  • Embodied Machines Artificial vs. Embodied Intelligence Artificial Intelligence (AI) Natural Language Processing (NLP) Goal: write programs that understand and identify grammatical patterns Assign conventional meanings to words Context (word env
     

  • CSC 434: T.M. Rao AI Concepts 1. What is AI? "Artificial Intelligence is the field of study that encompasses computational techniques for performing tasks that apparently require intelligence when performed by humans" Steven Tanimoto.
     

  • Between a Rock & a Hard Place: Cog Sci Principles Meet AI-Hard Problems Christian Lebiere (co-chair) Robert Wray (co-chair) Peter Weinstein (Altarum) (organizing committee) Krishna Jha (LM ATL) (organizing committee) Selmer Bringsjord (Norwegian, hu
     

  • CS451/CS551/EE565 ARTIFICIAL INTELLIGENCE Learning & Connectionism 12-04-2006 Prof. Janice T. Searleman jets@clarkson.edu, jetsza Outline Learning Agents Neural Nets Reading Assignment: AIMA Chapter 18, Learning from Observations Chapter 19, sec