CS代考计算机代写 algorithm Midterm

• My Student ID is 35634617. The value of

• Summarize the main contribution of the paper: In this paper, the authors study the problem of avoiding congestion when robotic swarms have the same target. The authors propose three algorithms PCC, EE and PCC-EE. The PCC algorithm using a Probabilistic Finite State Machine to make model, which divided the area into a dangerous zone and a free zone to consider. In EE algorithm to solve the congestion in exiting, the authors set entrance and exit regions. Result-wise, the authors show PCC algorithms solve the congestion of entering the target and EE solve the problem of exiting. The EE algorithm is more efficient than PCC algorithm. At last, comparing their methods with ORCA and also performed many real world executions with a team of 10 e-puck robots.

Reject review: Studying the implementation of target congestion problems can indeed improve efficiency. Overall, this paper makes a first step towards target congestion. However, my major concerns with this paper are as follows: firstly, the sample size of both the real experiment and the virtual experiment is too small, which makes it easier to implement when avoiding congestion, and there is no difference in the efficiency of the proposed algorithms. Secondly, the authors put forward that their point of view is different from the existing algorithm in how to avoid congestion when the target is the same, but it does not solve the problem of how to sense the same target between samples. Thirdly, not academically valid enough. The implementation of the algorithms is theoretical and lack of up-to-date references and the references containing a high proportion of self-citations. At last, indicating in the paper that the e-pucks’s infrared sensors have a low range which means that lack of practical validity.

Suggestion: The practical significance of the question is not sufficient. Considering introducing research into the practical significance of avoiding stampede incidents, and increasing the number of samples.

• Yes, the “necessary conditions”satisfied in this economic scenario. Because the “necessary conditions”is “For a diverse team to be the optimal team under the simple voting rule it is necessary that at least one agent has a higher probability of taking the best action than the strongest agent in at least one world state, or a lower probability of taking a suboptimal action than the strongest agent in at least one world state”. In this economic scenario, Agent 2 and Agent 3 both have lower probability of taking a suboptimal action 2 than the strongest Agent 1.
• 3 Agent1 Action1: 0.51*0.51*0.51+3*0.51*0.51*0.49=0.514998

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