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Evaluation of Software Agent Performance while controlling the temperature of a test chamber by

Evaluation of Software Agent Performance while controlling the temperature of a test chamber by. David Hooley for CIS447, Artificial Intelligence, Fall 2004 Kutztown University Professor Mark Jones December 7, 2004.

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Evaluation of Software Agent Performance while controlling the temperature of a test chamber by

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  1. Evaluation of Software Agent Performance while controlling the temperature of a test chamber by David Hooley for CIS447, Artificial Intelligence, Fall 2004 Kutztown University Professor Mark Jones December 7, 2004

  2. Goal: Test the Proposition –More sophisticated agents perform better than simpler agents • Assemble hardware and software to test the proposition • Develop several agents • Simple Reflex Agent • (Model or Utility) Agent • Others (future work – an expert system?)

  3. Hardware Configuration Diagram Notebook Computer Red Hat V9 Linux OneWire Driver Software Agent Performance Application OneWire Hardware Interface Sensor & Switch Interface Power Drivers Temperature Chamber Enclosure Fan for Cooling Light Bulb for Heating Temperature Sensor Temp Sensor Temp Sensor Interface Temp Sensor OneWire Interface Switch Interface Heating Lamp Cooling Fan Power Controller

  4. Software Architecture • Modular • Sequence executed 40 times • Data Acquisition • Decisions by Agent • Control • Performance Analysis Report • Communicate via files

  5. Software Configuration Diagram Main Program Internet Run Initialization Java OneWire Server Java Client Read Temp Data Acquisition Agent Java Client Control Switch OneWire Interface Actuator Control Done? yes no Performance Analysis Evaluation Report

  6. Agents • Simple Reflex Agent (#1) • Compare Temperature to set point • If cooler, turn heater on • If warmer, turn fan on • (Model or Utility) Agent (#2) • Add memory, calculate changes • Try to avoid overshoot close to set point

  7. Performance Analysis Examples • Simple Reflex Agent (Agent 1) • -pow err sum • clog-1204-2057nf 451 400 851 1 7w no int fan clog-1204-2046wf 465 525 990 1 7w w/int fan • (Model or Utility) Agent (Agent 2) • clog-1204-2120nf 406 470 876 2 7w no int fan • clog-1204-2034wf 466 580 946 2 7w w/int fan

  8. Project Results • Proposition was NOT demonstrated • Little difference in agent performance noted • Perhaps overshoot would be seen if more power

  9. Future Work • Higher power heating and cooling • Graphical data displays • Automate data runs • Implement more/better agents • Different models • Perhaps an expert system?

  10. Run Data Summary Evaluation of Software Agent Performance date time name pow err agent comments 041204 0931 clog-1204-0931wf 481 580 1 7w w/int fan rm temp 25+ 041204 0944 clog-1204-0944bad 556 775 1 7w no int fan, bad run 041204 0959 clog-1204-0959nf 450 460 1 7w no int fan 041204 1033 clog-1204-1033nf 436 440 1 7w no int fan 041204 1058 clog-1204-1058nf 451 460 1 7w no int fan 041204 1112 clog-1204-1112nf 466 485 1 7w no int fan 041204 1126 clog-1204-1126wf 466 565 1 7w w/int fan hi rm temp 041204 1148 clog-1204-1148wf 466 555 1 7w w/int fan hi rm temp 041204 1246 clog-1204-1246wf 541 655 1 7w w/int fan 041204 1257 clog-1204-1257bad 511 715 1 7w w/int fan battery ran down 041204 1916 clog-1204-1916nf 345 385 2 7w no int fan rmtemp 225 041204 1926 clog-1204-1926nf 465 425 1 7w no int fan rmtemp 225 041204 1956 clog-1204-1956wf 437 565 2 7w w/int fan rmtemp 230 041204 2009 clog-1204-2009wf 421 490 1 7w w/int fan rmtemp 235 041204 2021 clog-1204-2021wf 451 605 2 7w w/int fan rmtemp 230 041204 2034 clog-1204-2034wf 466 580 2 7w w/int fan rmtemp 230 041204 2046 clog-1204-2046wf 465 525 1 7w w/int fan rmtemp 230 041204 2057 clog-1204-2057nf 451 400 1 7w no int fan rmtemp 220 041204 2120 clog-1204-2120nf 406 470 2 7w no int fan rmtemp 225

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