Are you looking for a detailed breakdown of the Game Theory IELTS Reading passage? This text falls under the Science & Technology category, exploring how “game theory” is applied in computer software to forecast human behavior and solve complex problems in economics and politics.
To help you master this challenging reading passage, the following guide from ECE Language Center provides a comprehensive analysis: the passage content, question sets, a summary, key vocabulary, and, most importantly, the answers with detailed explanations for every question.
Game Theory IELTS Reading Passage Information
Passage Text
Game Theory
Computer software that models human behaviour can make forecasts, outsmart rivals, and transform negotiations.
According to game theory, our chances of success in negotiations are based on the choices of others. Computer models have been developed to work out how events will unfold as people and organizations act in what they perceive to be their own best interests. Numerical values are placed on the goals, motivations, and influence of players, and likely options are considered. Game theory software then evaluates the ability of each of those players to influence others, and hence predicts the course of events.
Although many individuals would feel uncomfortable having a computer make decisions for them, many organizations run such computer simulations for law firms, companies, and governments. But feeding software with accurate data on all the players involved is especially tricky for political matters. Reinier van Oosten of Decide, a Dutch firm that models political negotiations, notes that predictions may become unreliable when people unexpectedly give in to ‘non-rational’ emotions such as hatred, rather than pursuing what is apparently in their best interests. However, sorting out people’s motivations is much easier when making money is the main object. Accordingly, modeling behavior using game theory is proving especially useful when applied to economics.
Using game theory software to model auctions can be very lucrative. Consulting firms are entering the market to help clients design profitable auctions, or to win them less expensively. In 2006, in the run-up to an online auction of radio-spectrum licenses by America’s Federal Communications Commission, Dr. Paul Milgrom, a consultant and Stanford University professor in the United States, customized his game theory software to assist a consortium of bidders. He was apprehensive at first, but the result was a triumph. When the auction began, Milgrom’s software tracked competitors’ bids to estimate their budgets for the 1,132 licenses on offer. Crucially, the software estimated the secret values bidders placed on specific licenses and determined that certain big licenses were being overvalued. Milgrom’s clients were then directed to obtain a collection of smaller, less expensive licenses instead. Two of his clients paid about a third less than their competitors for an equivalent amount of spectrum, saving almost $1.2 billion. Such a saving makes one wonder why everyone isn’t using game theory software. And, if they were, how would that affect the game?
PA Consulting, a British firm, designs models for software based on game theory to help its clients solve specific problems in areas from pharmaceuticals to the production of television shows. British government agencies have asked PA Consulting to build models to test scenarios that address how many of a type of business should be allowed to operate in a particular area. A simple example: if two competing ice-cream sellers share a long beach, they will set up stalls back-to-back in the middle and stay put, explains Dr. Stephen Black, a modeler for PA. Unfortunately for potential customers at the far ends of the beach, each seller prevents the other from relocating—no other spot would be closer to more people. Introduce a third seller, however, and the stifling equilibrium is broken as relocations and pricing changes energize the market. By studying a chain of events such as this, software designers can assess the effect of change and see the patterns in possible outcomes that may occur. As a result, the use of modeling makes clients more inclined to look at future repercussions when making business decisions, Black says.
Where is all this heading? Alongside the increasingly elaborate modeling software, there are also efforts to develop software that can assist in negotiation and mediation. Two decades ago, Dr. Clara Ponsati, a Spanish academic, came up with a clever idea. She accepted that, as negotiators everywhere know, the first side to disclose the maximum amount that it is willing to pay loses considerable bargaining power. Without leverage, it can be pushed backward in the bargaining process by a clever opponent. But if neither side reveals the concessions it is prepared to make, negotiations can become very slow or collapse. However, difficult negotiations can often be pushed along by neutral mediators, especially if they are entrusted with the secret bottom lines of all parties. Ponsati’s idea was that if a human mediator was not trusted, affordable, or available, a computer could do the job instead. Negotiating parties would update the software with the confidential information on their bargaining positions after each round of talks. Once positions on both sides were no longer mutually exclusive, the software would be used to split the difference and propose an agreement. Ponsati, now head of the Institute of Economic Analysis at the Autonomous University of Barcelona in Spain, says such “mediation machines” could be employed to push negotiations forward by unlocking information that would otherwise be withheld from an opponent.
Could mediation which has been achieved using software based on game theory spread from auction bids and utility pricing to resolving political and military disputes? Today’s game theory software is not yet sufficiently advanced to mediate between warring countries. But one day opponents on the brink of war might be tempted to use it to exchange information without having to engage in conflict. According to some game theorists, opponents could learn how a war would turn out, skip the fighting, and strike a deal. Over-optimistic, perhaps-but game theorists do have rather an impressive track record when it comes to predicting the future.
Questions 27 – 31
Choose the correct letter, A, B, C, or D. Write the correct letter in boxes 27 – 31 on your answer sheet.
27. What does the writer suggest about game theory software in the first paragraph?
A. Traditional negotiating practices should be used to supplement the software.
B. Success of the software depends on the accuracy of the assigned data.
C. This software anticipates the outcome of future events.
D. Future business negotiations will be dominated by this software.
28. Reinier van Oosten says predicting what people will do works best if
A. Participants are honest about how they feel.
B. There is a good understanding of the client’s culture.
C. People strongly dislike the other party.
D. Profit is the primary motivator.
29. After using game theory software in 2006, Dr. Milgrom instructed his clients to
A. Buy big licenses.
B. Negotiate with the other parties directly.
C. Make one big offer at the end of the auction.
D. Purchase a mix of licenses.
30. The writer refers to Stephen Black’s ice-cream seller example in order to
A. Show the impact new competitors have on business.
B. Highlight the importance of location on business success.
C. Demonstrate that businesses must follow a strategy.
D. Clarify how pricing affects sales.
31. Ponsati believes business negotiations are more likely to progress if
A. A solution is proposed by one of the interested parties.
B. Mediators or computers take over the bargaining process.
C. Both parties follow the rules of negotiating.
D. Sufficient time is allowed for the bargaining process.
Questions 32 – 35
Do the following statements agree with the claims of the writer in Reading Passage 3?
YES – if the statement agrees with the claims of the writer
NO – if the statement contradicts the claims of the writer
NOT GIVEN – if it is impossible to say what the writer thinks about this
- Game theory software may be unhelpful when dealing with political issues.
- Dr. Milgrom was confident about applying his software to an auction in 2006.
- Dr. Ponsati believes ‘mediation machines’ are an inappropriate method of negotiation in areas other than business.
- Military organizations refuse to accept that software based on game theory could prevent wars.
Questions 36 – 40
Complete each sentence with the correct ending, A-F, below. Write the correct letter, A-F, in boxes 36 – 40 on your answer sheet.
36. According to Reinier van Oosten, game theory software fails when…
37. Dr. Milgrom’s software is successful in detecting if…
38. Dr. Black’s game theory software is a helpful tool when…
39. According to Dr. Ponsati, negotiators fall behind if…
40. Dr. Ponsati’s mediation machine is useful when…
List of Endings
A. something is thought to be worth more than it really is.
B. discussions between the parties begin to break down.
C. too much information is given to the other parties early on.
D. businesses consider possible future developments.
E. people allow their feelings to influence decisions.
F. a solution requires face-to-face negotiation.
Summary of the Reading Passage
The “Game Theory” passage introduces how computer software based on game theory can model and predict human behavior in negotiations and competitive scenarios.
- Basic Principles: The software works by assigning numerical values to the goals and motivations of “players,” predicting outcomes based on choices that yield the best interests for each party.
- Applications and Limitations: This technology is highly effective in economics, where profit is a clear objective. However, it faces challenges in politics because irrational emotional factors can skew predictions.
- Success Stories: The article cites Dr. Milgrom, who used software to help clients save $1.2 billion in an auction by identifying overvalued licenses. Another example is the ice-cream seller model, which shows how software helps businesses assess the impact of changes and future consequences.
- Future Developments: The technology is moving toward “mediation machines” that act as trusted intermediaries, preventing negotiations from collapsing by handling confidential information.
- Prospects: The passage concludes with an open question about applying this technology to resolve political and military conflicts—a prospect that may be optimistic but is not impossible.
Key Vocabulary
- Lucrative (adj): Producing a great deal of profit.
- Example: Using game theory software to model auctions can be very lucrative.
- Apprehensive (adj): Anxious or fearful that something bad will happen.
- Example: He was apprehensive at first, but the result was a triumph.
- Equilibrium (n): A state in which opposing forces or influences are balanced.
- Example: …and the stifling equilibrium is broken as relocations and pricing changes energize the market.
- Repercussions (n): Unintended consequences of an event or action, especially unwelcome ones.
- Example: …makes clients more inclined to look at future repercussions when making business decisions.
- Mediation (n): Intervention in a dispute in order to resolve it.
- Example: …there are also efforts to develop software that can assist in negotiation and mediation.
- Leverage (n): The power to influence a person or situation.
- Example: Without leverage, it can be pushed backward in the bargaining process by a clever opponent.
- Concessions (n): Things that are granted, especially in response to demands.
- Example: But if neither side reveals the concessions it is prepared to make, negotiations can become very slow or collapse.
Answer Key and Detailed Analysis
27. Answer: C. This software anticipates the outcome of future events.
Location & Explanation: Paragraph 1, last sentence: “Game theory software then evaluates… and hence predicts the course of events.” “Predicts the course of events” is synonymous with “anticipates the outcome of future events.”
28. Answer: D. Profit is the primary motivator.
Location & Explanation: Paragraph 2, last sentence: “…sorting out people’s motivations is much easier when making money is the main object.” “Making money is the main object” is synonymous with “Profit is the primary motivator.”
29. Answer: D. Purchase a mix of licenses.
Location & Explanation: Paragraph 3: “…determined that certain big licenses were being overvalued. Milgrom’s clients were then directed to obtain a collection of smaller, less expensive licenses instead.” “A collection of smaller, less expensive licenses” is equivalent to “a mix of licenses.”
30. Answer: A. Show the impact new competitors have on business.
Location & Explanation: Paragraph 4: The example describes two ice-cream sellers in equilibrium, but when you “Introduce a third seller, however, and the stifling equilibrium is broken…”. Adding a third seller (a new competitor) breaks the equilibrium and changes the market.
31. Answer: B. Mediators or computers take over the bargaining process.
Location & Explanation: Paragraph 5: “…difficult negotiations can often be pushed along by neutral mediators… if a human mediator was not trusted… a computer could do the job instead.” This shows that neutral mediators or computers can help facilitate the bargaining process.
32. Answer: YES
Location & Explanation: Paragraph 2: “…feeding software with accurate data on all the players involved is especially tricky for political matters… predictions may become unreliable…”. “Tricky” and “unreliable” indicate that the software may be “unhelpful.”
33. Answer: NO
Location & Explanation: Paragraph 3: “He was apprehensive at first, but the result was a triumph.” “Apprehensive” means anxious or worried, which is the opposite of “confident.”
34. Answer: NOT GIVEN
Explanation: Paragraph 5 discusses Ponsati’s idea in a business context. Paragraph 6 speculates about potential applications in other fields like politics and the military. However, the text does not mention Ponsati’s personal opinion on whether it would be “inappropriate” for other fields.
35. Answer: NOT GIVEN
Explanation: The final paragraph states that opponents “might be tempted to use it.” This suggests a future possibility, not a current fact. The text provides no information on whether military organizations “refuse to accept” it.
36. Answer: E. people allow their feelings to influence decisions.
Location & Explanation: Paragraph 2: “…predictions may become unreliable when people unexpectedly give in to ‘non-rational’ emotions such as hatred, rather than pursuing what is apparently in their best interests.” “Give in to ‘non-rational’ emotions” matches “allow their feelings to influence decisions.”
37. Answer: A. something is thought to be worth more than it really is.
Location & Explanation: Paragraph 3: “…the software… determined that certain big licenses were being overvalued.” “Overvalued” means something is thought to be worth more than it really is.
38. Answer: D. businesses consider possible future developments.
Location & Explanation: Paragraph 4: “…the use of modeling makes clients more inclined to look at future repercussions when making business decisions.” “Future repercussions” matches “possible future developments.”
39. Answer: C. too much information is given to the other parties early on.
Location & Explanation: Paragraph 5: “…the first side to disclose the maximum amount that it is willing to pay loses considerable bargaining power.” Disclosing the maximum amount early on is equivalent to “too much information is given… early on.”
40. Answer: B. discussions between the parties begin to break down.
Location & Explanation: Paragraph 5: “…if neither side reveals the concessions it is prepared to make, negotiations can become very slow or collapse.” Ponsati’s mediation machine is proposed as a solution for this situation, i.e., when discussions are at risk of breaking down.
The “Game Theory” passage is a classic example of complex academic topics in IELTS Reading. Successfully mastering this passage shows that you have the ability to process in-depth information, use logical reasoning, and connect complex ideas. We hope this detailed analysis from ECE has provided you with the necessary tools to confidently face similar reading passages. Keep practicing with this analytical method to maximize your score. Good luck!
Khai giảng Khóa học Hè cực HOT.
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