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Summary

These are notes on evolution, offering simplified quiz notes on cooperation, punishment, and mutualism, along with several topics in human behavioral science. The notes are relevant to topics, such as kin selection, altruism, and inclusive fitness, exploring how these concepts are explained using game theory and evolutionary factors.

Full Transcript

Slides 13: 1. Kin Selection and Altruism - Kin Selection: Favoring kin to increase inclusive fitness (passing on genes through relatives). - Examples of altruistic behavior: - Alarm calls in animals (e.g., monkeys) - increases the individual's risk but benefits kin. - Suicidal behavior i...

Slides 13: 1. Kin Selection and Altruism - Kin Selection: Favoring kin to increase inclusive fitness (passing on genes through relatives). - Examples of altruistic behavior: - Alarm calls in animals (e.g., monkeys) - increases the individual's risk but benefits kin. - Suicidal behavior in bees and ants (sacrifice for the colony). 2. Hamilton’s Rule - Hamilton's formula: \( rB > C \) - r = relatedness - B = benefit to others - C = cost to self - Genes for altruism favored if the benefit to relatives outweighs the cost to self. 3. Inclusive Fitness - Concept by Richard Dawkins in The Selfish Gene. - Fitness is about gene survival, not just individual survival. - Vervet monkeys: Alarm calls vary for different predators, showing kin-based social behaviors. 4. Modern Nepotism - Inheritance, favoritism in legal and business practices are modern forms of kin selection. - Favoring family members aligns with inclusive fitness. 5. Kin Detection and Incest Avoidance - Proxies for kinship (in humans): - Co-residence during childhood. - Maternal association. - Inbreeding depression: Harmful genetic effects in small, isolated groups (e.g., Hutterites). - Westermarck Effect: People raised together are less likely to marry (e.g., Kibbutzim). 6. Tribal Kinship Systems - Kinship systems organize social and political structures in small societies. - Descent: Rules for lineage (e.g., matrilineal, patrilineal). - Marriage alliances: - Exogamy (marrying outside kin group). - Endogamy in certain cultures (e.g., cousin marriage in Arab societies to preserve inheritance). Slides 14: 1. reciprocal altruism - Helping others with the expectation of future reciprocation. - Examples: Reciprocal grooming in animals, blood-sharing among vampire bats, and cooperation in humans. - Requirements: Recognizing partners, keeping records of interactions, and maintaining motivation to reciprocate. 2. social exchange and free-rider detection - Foragers have norms for sharing, especially for resources with high variance like big game. - Free-rider problem: Individuals who take benefits without sharing costs. - Wason Selection Task: A logic task used to study how people detect rule violations, especially in social contracts. 3. human generosity beyond reciprocation - Humans engage in non-reciprocal helping, like tipping or giving directions. - Situational factors often influence helping behavior more than personality traits. - Helping is common even without immediate reciprocation, seen in actions like tipping in restaurants or helping strangers. 4. theories of generosity: punishment vs mutualistic interpretations - punishment interpretation: Altruistic norms are upheld by punishment, enhancing group cohesion. Boyd & Richerson argue that such norms spread through cultural group selection. - mutualistic interpretation: People choose cooperative partners, leading to genetic selection for fairness as cooperation becomes more beneficial. Baumard & Sheskin support this view. 5. economic games and human behavior - Dictator Game: One player divides a sum with another who has no say. Results often show people offering part of their endowment, which reflects fairness rather than pure self-interest. - Ultimatum Game: One player proposes a division; the second player can accept or reject. Offers around 30-70% are commonly accepted, while lower offers are often rejected. 6. cultural differences in economic games - Studies by Henrich show that offer behaviors in economic games vary widely across cultures. - Inequality aversion model (Ernst Fehr): Suggests people adjust behavior to avoid inequality, but it’s unclear why people feel this way. Slides 15: Here are simplified quiz notes on cooperation, punishment, and mutualism based on the presentation: 1. theories of human generosity - punishment (strong reciprocity): cooperative norms are maintained by punishment, enhancing group cohesion. Boyd & Richerson model suggests such norms spread through cultural group selection. - mutualistic partner-choice: individuals prefer cooperative partners, encouraging fairness and genetic selection for cooperation. Baumard & Sheskin support this view. 2. strong reciprocity and punishment evidence - Game Evidence: Games like Prisoner’s Dilemma (PD) and Dictator Game (DG) show players often punish defectors, even at personal cost. - Third-Party Punishment (TPP): Rare outside modern contexts where it's cheap (e.g., calling the police). Raises questions about altruism since TPP often lacks direct costs to the punisher. 3. limitations of economic games - Unrealistic structure: Many games assume fixed partners and anonymity, which is rare in real-world cooperation. - Differences in motivation: Economists assume clear game rules; psychologists suggest players’ actions are also shaped by implicit norms and psychological factors. 4. reputation and altruism - Reputation cues: Studies show people act more prosocially when subtle cues (like images of eyes) suggest they're being observed. - Image Management Hypothesis: Suggests altruistic behavior can be driven by reputation concerns, not just pure altruism. 5. partner-choice in biological markets - Biological Markets: Individuals “choose” partners who maximize mutual benefit, as seen in relationships like cleaner fish and their clients. - Fairness through Partner Choice: The ability to select partners can enforce fairness, as exploiters are left without cooperative partners. 6. conclusion on cooperation mechanisms - Evidence indicates real-world cooperation may rely more on partner-choice dynamics and reputation management than punishment alone, challenging assumptions made in controlled economic games. Slides 16: 1. dilemmas of cooperation - Cooperation presents challenges, such as limiting one’s own utility and dealing with free-riders who benefit without contributing. - Time-discounting makes future rewards less valuable, impacting long-term cooperation. 2. economics of moral feelings - Moral feelings can bypass discounting, acting as immediate rewards that counter the delay in benefits. - Feelings like guilt or loyalty help sustain cooperation by acting as commitment devices. 3. commitment devices and examples - Fictional examples: Ulysses tying himself to resist the Sirens (self-imposed limitations). - Real examples: public commitments like engagement rings in romantic love or bonded businesses in commerce. - Characters signaling willingness to retaliate or show honesty make threats credible, reducing exploitation. 4. love as a commitment device - Love stabilizes relationships through public signals (e.g., engagement rings), expensive displays, or signs of irrational devotion, making commitment costly to fake. 5. friendship and the banker’s paradox - Banker’s Paradox: assistance is offered based on reciprocation potential, but in friendship, commitment goes beyond rational exchange. - Friendship often involves small, incremental acts, is culturally universal, and can fail if one partner exploits the other. 6. evolution of commitment - Long-term cooperation is advantageous but requires signals hard to fake. - Involuntary signals like facial expressions strengthen commitment, making it immune to self-interest in the short term. Slides 17: 1. morality as a challenge for evolution - Morality is non-material, raising questions about its place in an evolutionary framework. - Cooperation models explain moral-like behavior either through punishment or self-interest, but the moral imperative itself is less clear. 2. moral psychology: intuitions and reasoning - Moral judgments often rely on intuitions (e.g., feeling something is wrong) rather than explicit rules. - Studies show people have strong moral reactions, sometimes with limited reasoning to back them up. 3. moral rule vs. convention - Moral rules are seen as universal and inherent, while conventions are situational and can vary (e.g., driving on one side of the road). - Children distinguish moral rules from conventions early on, a distinction that persists across cultures. 4. consequentialist vs. deontological models - Consequentialist model: Actions are moral if they increase overall utility (e.g., saving more lives). - Deontological model: Actions are moral if they follow specific principles, regardless of outcomes (e.g., not harming others). - Trolley problems reveal differences in moral intuitions, showing that people don’t always follow a utilitarian approach. 5. two interpretations of moral judgments - Emotional effects: Judgments can be swayed by how personal or active an action feels. - Fairness intuitions: Situations with pre-existing risks or inequalities affect moral intuitions differently. 6. empathy and social contract theories - Empathy-based morality is shaped by taking others’ perspectives. - Social contract theory suggests that moral behaviors maintain a mutually beneficial social order, though it’s often metaphorical rather than literal. 7. mutualist models of morality - Mutualist morality explains fairness as an evolved mechanism, focusing on just distribution and proportionate punishment. - This model suggests morality supports genetic selection by promoting fairness and cooperative behavior. 8. haidt’s moral foundations - Five core moral domains include care-harm, fairness, loyalty, authority, and sanctity-purity. - These domains explain a range of moral judgments, beyond just harm and fairness. 9. moral foundations and political perspectives - Different moral emphases explain polarized views in politics, with certain domains (e.g., sanctity) more important to some groups than others.

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