• 1 Page cs344-lab3-tables
    Cs344-lab3-tables

    School: Idaho State

    Sheet1 Bank Angle (Degrees) -90 -85 -80 -75 -70 -65 -60 -55 -50 -45 -40 -35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 Lift Coefficient 0.000 0.087 0.174 0.259 0.342 0.423 0.500 0.574 0.643 0.707 0.766 0.819 0.866 0

  • 2 Pages lab-viewer-0_3-instructions
    Lab-viewer-0_3-instructions

    School: Idaho State

    CS344 Viewer Instructions: Version 0.3 (Alpha) Installation For Windows and Linux, download and install Java3D from http:/java.sun.com/javase/technologies/desktop/java3d/. Windows may require a reboot, as usual. Unzip the installer from the course we

  • 15 Pages cs344-lecture-40
    Cs344-lecture-40

    School: Idaho State

    Plan for Today Reasoning ~626 605 CS344 Lecture 40 Part VIII : Reasoning 606 CS344 Lecture 40 Pragmatics Revisited ELRA-S0299 Alcohol Language Corpus (BAS ALC): ALC contains recordings of 88 German speakers that are either intoxicated or sob

  • 9 Pages cs344-lecture-34
    Cs344-lecture-34

    School: Idaho State

    Plan for Today Lab 6 comments Homework 2 481 CS344 Lecture 34 Lab 6 Comments 482 CS344 Lecture 34 Lab 6 Comments Airspeed and groundspeed not dependent burn more/fewer calories. 483 CS344 Lecture 34 Lab 6 Comments AI UAV maneuvers

  • 14 Pages cs344-lecture-31
    Cs344-lecture-31

    School: Idaho State

    Plan for Today Conceptual modeling 426 CS344 Lecture 31 source: wikipedia 427 CS344 Lecture 31 Contextual Physics : Motion source: aerospaceweb.org 428 CS344 Lecture 31 Contextual Physics : Motion source: free-online-private-pilot-ground-sch

  • 16 Pages cs344-lecture-30
    Cs344-lecture-30

    School: Idaho State

    Plan for Today Stochastic simulation Conceptual modeling 410 CS344 Lecture 30 Contextual Physics : Stability Sustainable, recoverable systems source: vanderbilt.edu 411 CS344 Lecture 30 Contextual Physics : Stability Steady-state source

  • 19 Pages cs344-lecture-28
    Cs344-lecture-28

    School: Idaho State

    Plan for Today Conceptual modeling 378 CS344 Lecture 28 379 CS344 Lecture 28 380 CS344 Lecture 28 381 CS344 Lecture 28 382 CS344 Lecture 28 383 CS344 Lecture 28 Contextual Physics : Motion what how 384 CS344 Lecture 28 Contextual

  • 13 Pages cs344-lecture-21
    Cs344-lecture-21

    School: Idaho State

    Plan for Today Decision networks 287 CS344 Lecture 20 Revisit : Declarative Paradigm 288 CS344 Lecture 20 Revisit : Declarative Paradigm 289 CS344 Lecture 20 Revisit : Declarative Paradigm 290 CS344 Lecture 20 Gricean Maxims Avoid circ

  • 16 Pages cs344-lecture-11
    Cs344-lecture-11

    School: Idaho State

    Plan for Today Situational awareness static data dynamic data 140 CS344 Lecture 11 Static Data Sources known in advance acquired en route Does not change 141 CS344 Lecture 11 Pocatello VFR (Visual Flight Rules) 142 CS344 Lecture

  • 1 Page cs344-lab7
    Cs344-lab7

    School: Idaho State

    CS344 Lab 7: Seal-Hunting Shark (with Lasers on Head) Assigned 17 April; due 24 April 75 points Description This lab focuses on simplistic planning and reactive behavior. Due to time constraints, it is considerably simpler than previous labs, and it

  • 10 Pages cs344-lecture-18
    Cs344-lecture-18

    School: Idaho State

    Plan for Today Utility theory 258 CS344 Lecture 18 Utility Theory Converting constraints into utility function: Bounded analysis worst possible catastrophe: U(S) = u acceptable risk: [p, u; (1-p), u], where u=1 and u=0 frames ever

  • 2 Pages cs344-lab6
    Cs344-lab6

    School: Idaho State

    CS344 Lab 6: UAV Maneuvers; Update 1 Assigned 3 April; due 13 April 85 points Description This lab focuses on conceptual modeling of an unmanned aerial vehicle (UAV). The nominal goal of the UAV is to demonstrate that it can stay aloft under various

  • 14 Pages cs344-lecture-17
    Cs344-lecture-17

    School: Idaho State

    Plan for Today Modeling physical systems 244 CS344 Lecture 17 Part IV : Modeling Physical Systems 245 CS344 Lecture 17 Crisp Computational Rationality Rationality perfect: bounded: bounded: agent acts perfectly at every step satisficin

  • 9 Pages cs344-lecture-20
    Cs344-lecture-20

    School: Idaho State

    Plan for Today Lab 4 Decision networks Expert systems 278 CS344 Lecture 19 Lab 4 Navigation partial belief, desire, intent (BDI model) closed-loop control system LORAN-based location determination induced errors 279 CS344 Lecture 19

  • 20 Pages cs344-lecture-04
    Cs344-lecture-04

    School: Idaho State

    Plan for Today Introduction to AI 47 CS344 Lecture 4 AI : Foundation : Neuroscience Considers how brains process info as a biological system same idea, different implementation from philosophical foundation 1KHz, massively parallel, compone

  • 12 Pages cs344-lecture-07
    Cs344-lecture-07

    School: Idaho State

    Plan for Today Intelligent agents behavior models 91 CS344 Lecture 7 Lab 1 : Viewer v0.2 92 CS344 Lecture 7 Intelligent Agents : Behavior Rationality/intelligence, continued learning, exploration effectively and efficiently recording

  • 9 Pages cs344-lecture-06
    Cs344-lecture-06

    School: Idaho State

    Plan for Today Intelligent agents environment behavior 82 CS344 Lecture 6 Lab 1 : Viewer Instructions and installer on web page Coordinate systems position attitude dimensions 83 CS344 Lecture 6 Intelligent Agents : Environment P

  • 18 Pages cs344-lecture-02
    Cs344-lecture-02

    School: Idaho State

    Plan for Today Introduction to AI 9 CS344 Lecture 2 Course Organizational Philosophy Huge book, too much info for one undergraduate semester not cheap, so consider sharing a copy we will cover many sections, but in varying levels of deta

  • 1 Page cs344-hw1
    Cs344-hw1

    School: Idaho State

    CS344 Homework 1: Student Background Survey Assigned 12 January; due in 13 January (midnight) 1 point What do you think artificial intelligence (AI) is? What is your general opinion of or reaction to the portrayal of AI in popular entertainment? H

  • 2 Pages cs344-syllabus
    Cs344-syllabus

    School: Idaho State

    CS344 Artificial Intelligence Spring 2009 Description Fundamental principles and techniques of artificial-intelligence systems; search strategies; knowledge acquisition and representation; commonsense reasoning; planning; machine learning; expert sys

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