22/05/2022, 12:25 Module 3 overview: Utilitarianism and Deontology: The Ethics of Artificial Intelligence (COMP90087_2022_SM1) Module 3 overview: Utilitarianism and Deontology Two moral theories Copyright By PowCoder代写 加微信 powcoder In order to address ethical question in AI Ethics, we need to have some ethical tools. Some of these tools are AI ethics principles (like transparency, accountability […]
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# testClasses.py # ————– # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # Attribution Information:
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# baselineTeam.py # ————— # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # Attribution Information:
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# unpack.py # ——— # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # Attribution Information:
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Aims The University of Melbourne School of Computing and Information Systems COMP90054 AI Planning for Autonomy Project 1, 2019 Deadline: Monday 2 September 18:00 This project counts towards 10% of the marks for this subject. This project must be done individually. The aims of this project are to improve your understanding of the various search
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# searchAgents.py # ————— # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # Attribution Information:
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# game.py # ——- # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # Attribution Information:
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# testParser.py # ————- # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # Attribution Information:
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# baselineTeam.py # ————— # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # Attribution Information:
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# captureGraphicsDisplay.py # ————————- # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # Attribution Information:
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