Printed by www.postersession.com Tolerance and Sexual Attraction in Despotic Societies: A Replication and Analysis of Hemelrijk (2002) Hagen Lehmann, JingJing.

Slides:



Advertisements
Similar presentations
1 COMM 301: Empirical Research in Communication Lecture 15 – Hypothesis Testing Kwan M Lee.
Advertisements

A cognitive theory for affective user modelling in a virtual reality educational game George Katsionis, Maria Virvou Department of Informatics University.
Chapter 6 Primate Behavior Key Terms. Social structure The composition, size, and sex ratio of a group of animals. Social structures, in part, are the.
Research Methods for Counselors COUN 597 University of Saint Joseph Class # 8 Copyright © 2015 by R. Halstead. All rights reserved.
Alexa Curcio. Original Problem : Would a restriction on height, such as prohibiting males from marrying taller females, affect the height of the entire.
Application of Computer Simulation in Traffic Analysis Presented By: Lei Huang.
Class 5: Thurs., Sep. 23 Example of using regression to make predictions and understand the likely errors in the predictions: salaries of teachers and.
Evolutionary Games The solution concepts that we have discussed in some detail include strategically dominant solutions equilibrium solutions Pareto optimal.
Printed by The question how the human brain works can be approached from different angles. Scientists from disciplines like biology,
Evolutionary Games The solution concepts that we have discussed in some detail include strategically dominant solutions equilibrium solutions Pareto optimal.
Experimental Evaluation
© Kip Smith, 2003 Part 2 Nature Evolution, language, and species-typical (innate) behavior patterns.
Christopher Dougherty EC220 - Introduction to econometrics (chapter 3) Slideshow: prediction Original citation: Dougherty, C. (2012) EC220 - Introduction.
BINARY CHOICE MODELS: LOGIT ANALYSIS
1 PREDICTION In the previous sequence, we saw how to predict the price of a good or asset given the composition of its characteristics. In this sequence,
Chapter 2 Research Methods. The Scientific Approach: A Search for Laws Empiricism: testing hypothesis Basic assumption: events are governed by some lawful.
Innateness of colour categories is a red herring: insights from computational modelling Tony Belpaeme Artificial Intelligence Lab Vrije Universiteit Brussel.
Chapter 2: The Research Enterprise in Psychology
Chapter 2: The Research Enterprise in Psychology
Chapter 2 Research Methods. The Scientific Approach: A Search for Laws Empiricism: testing hypothesis Basic assumption: events are governed by some lawful.
Chapter 2 The Research Enterprise in Psychology. n Basic assumption: events are governed by some lawful order  Goals: Measurement and description Understanding.
Brian Duddy.  Two players, X and Y, are playing a card game- goal is to find optimal strategy for X  X has red ace (A), black ace (A), and red two (2)
Gene flow is the movement of alleles between populations.
Fundamentals of Data Analysis Lecture 4 Testing of statistical hypotheses.
Warm-up #4 What could you do in order to prove or disprove this statement? – Dogs are WAY better than cats.
Chapter 1: The Research Enterprise in Psychology.
The Research Enterprise in Psychology. The Scientific Method: Terminology Operational definitions are used to clarify precisely what is meant by each.
PSI Theory Basic Concepts. PSI concepts Motivation –Five basic needs drive behaviour –From basic needs, intentions are built Action Regulation –Intention.
Observation & Analysis. Observation Field Research In the fields of social science, psychology and medicine, amongst others, observational study is an.
Chapter 2 The Research Enterprise in Psychology. Table of Contents The Scientific Approach: A Search for Laws Basic assumption: events are governed by.
GRADE 12 M.CARDINAL CHIMPANZEES: OUR CLOSEST RELATIVES.
Essential Statistics Chapter 131 Introduction to Inference.
Testosterone, Aggression and a Test of the Challenge Hypothesis in Wild Chimpanzees Authors: M. Muller and R. Wrangham 2004 Presented by Valerie Butler.
1-1 Copyright © 2015, 2010, 2007 Pearson Education, Inc. Chapter 10, Slide 1 Chapter 10 Understanding Randomness.
Research Process Parts of the research study Parts of the research study Aim: purpose of the study Aim: purpose of the study Target population: group whose.
Chapter 7 Models for Human Evolution Behavior and Human Origin Language Capabilities Primate Cultural Behavior Aggressive Interactions Between Groups Affiliation,
Chapter 8 Primate Models For Human Variation. Chapter Outline  Human Origins and Behavior  Brain and Body Size  Language  Primate Cultural Behavior.
Chapter 4 Linear Regression 1. Introduction Managerial decisions are often based on the relationship between two or more variables. For example, after.
Mating Systems Conflict.
Neural Networks and Machine Learning Applications CSC 563 Prof. Mohamed Batouche Computer Science Department CCIS – King Saud University Riyadh, Saudi.
Issues concerning the interpretation of statistical significance tests.
Evolutionary Psychology. Evolved Mechanisms ALL psychological theories imply evolved psychological mechanisms –Where did these mechanisms come from? –Why.
Chapter 2 The Research Enterprise in Psychology. Table of Contents The Scientific Approach: A Search for Laws Basic assumption: events are governed by.
Essay ‘Discuss one or more biological explanations of aggression’. D2- Thursday 1 st October F1- Friday 2 nd October.
Auctions serve the dual purpose of eliciting preferences and allocating resources between competing uses. A less fundamental but more practical reason.
Binomial Distributions Chapter 5.3 – Probability Distributions and Predictions Mathematics of Data Management (Nelson) MDM 4U.
Chapter 6 Primate Behavior. Chapter Outline Importance of Primate Study Evolution of Behavior Nonhuman Primate Social Behavior Reproduction and Reproductive.
The inference and accuracy We learned how to estimate the probability that the percentage of some subjects in the sample would be in a given interval by.
Modeling Changes in Exploitative vs. Protective Behavior Joseph Blass Motivation and Questions Humans exploit others for selfish reasons Humans also protect.
Method Participants  145 undergraduates: 38 men (26.2%) and 107 women (73.8%) earning research participation credit for Psychology courses  Recruited.
© 2010 Pearson Prentice Hall. All rights reserved Chapter Hypothesis Tests Regarding a Parameter 10.
LECTURE 9. Genetic drift In population genetics, genetic drift (or more precisely allelic drift) is the evolutionary process of change in the allele frequencies.
Chapter 13 Linear Regression and Correlation. Our Objectives  Draw a scatter diagram.  Understand and interpret the terms dependent and independent.
Some Terminology experiment vs. correlational study IV vs. DV descriptive vs. inferential statistics sample vs. population statistic vs. parameter H 0.
Stats Methods at IC Lecture 3: Regression.
Human Behavior in Perspective
Chapter 2 Research Methods.
Unit 5: Hypothesis Testing
Chapter 9: Testing a Claim
Unit Primate Behaviour
Essentials of Modern Business Statistics (7e)
Understanding Randomness
2 independent Groups Graziano & Raulin (1997).
Essential Statistics Introduction to Inference
Significance Tests: The Basics
Chapter 9: Testing a Claim
Chapter 9: Testing a Claim
Chapter 9: Testing a Claim
Chapter 9: Testing a Claim
Unit 5: Hypothesis Testing
Presentation transcript:

printed by Tolerance and Sexual Attraction in Despotic Societies: A Replication and Analysis of Hemelrijk (2002) Hagen Lehmann, JingJing Wang & Joanna J. Bryson University of Bath, Artificial models of natural Intelligence Most primate societies are characterised by hierarchical structures with more or less despotic value. Males are usually dominant over females, but in periods of sexual attraction male “tolerance” towards females rises. This has been explained as a probable cognitive strategy (Yerkes 1939) — an exchange for copulation, which is adaptive in that it also therefore produces offspring (Goodall 1986, deWaal 1989, Stanford 1996). Tolerance is considered one of the most basic forms of conflict resolution. It might be difficult to see tolerance as an action to be selected, since it seems like a form of inaction. However, if an individual is very inclined to preserve resources (including its own social rank), then expressing tolerance can require considerable inhibition of strong inclinations. Hemelrijk showed in a model called “DomWorld” that the “tolerance” of males towards females is created as a side effect due to the rise of female dominance during periods of sexual attraction and that this is the consequence of more frequent approaches of males towards females during these periods (Hemelrijk 2002). In her model males gain no benefit from “tolerating” females and they only do so at high aggression levels as what she calls “respectful timidity”, because some of the females have become dominant over them. Our study is an attempt to replicate Hemelrijk's results concerning the effects of sexual attraction and intensity of aggression between sexes in both despotic and egalitarian primate societies. We used the description of her individual-based model, DomWorld, to create our own version which simulates an artificial primate group. We did so in order to gain a deeper understanding of the structure of her model. We hope, this will enable us to create our own simulation of group dynamics in primate societies in the future. BACKGROUNDPURPOSE METHODS RESULTS CONCLUSIONS REFERENCES Our replication of Hemelrijk was successful. Our results show as hers did that in groups with a high level of aggression females are able to gain higher positions in the social hierarchy and eventually take over the group. Sexual attraction amplifies this effect. Agent-based models of social interactions can be copious sources of hypotheses and theories, since they allow for constructive modeling followed by relatively simple testing. They show how simple behavior at an individual level produces complex behavioral patterns on a social level. However, they are only valid if correlates can be found in real animals for the mechanisms that produce the model’s results. Our replication leads to the following questions: 1. Can two factors, the intensity of aggression and sexual attraction, really account for the change in female dominance at the time of tumescence? If the model is accurate, we should see increased conflicts involving the females at this time, and if the conflicts are violent, we should see the females immediately take a high dominance position if they happen to win. 2. Is the confounding of aggression with increase in the dominance value admissible or not? If the model holds, then changes of dominance rank should require fewer conflicts in despotic species than in egalitarian ones Self-confidence after winning a fight may increase, if one wins against a much stronger opponent. But in a real fight the body size and strength is at least as important as the psychological status of the individual. If the empirical data does not support Hemelrijk’s model in the above two questions, then we will have sufficient cause to look at more complex models, possibly including enough cognitive state for reciprocation. The number of virtual female interactions increases significantly in conditions with sexual attraction at both intensities of aggression (Mann-Whitney, N = 10, U = 0, p < tailed, Mann-Whitney, N = 10, U = 0, p < tailed). The aggression level amplifies the result, even though the effect for the aggression is rather weak (Mann- Whitney U-Test, N = 10, U = 24 p <.05 2-tailed). Figure 1: Number of female interactions during different conditions Figure 2 shows the dominance of virtual females as the summed number of males ranking below each female at different times in different conditions. We can see that the values in conditions with high aggression level increase over the time, but that they stay constant in conditions with a low aggression level. Figure 3 shows the distribution of the coefficient of variation of dominance values for both sexes. If the aggression is high, there will be a steeper hierarchy --- the difference between rank values will be larger. This is true for both within and between sexes. Attraction amplifies this result, despite the fact that some females may outrank some males in this condition. Figure 6: Change of dominance values at a low level of aggression (blue = male, red = female). Figure 5: Change of dominance values at a high level of aggression (blue = male, red = female). Figure 3: Distribution of coefficients of variation of dominance value for both sexes. The last two figures show the change of dominance values for both sexes in conditions with high and with low levels of aggression. With high aggression a constant change in the dominance structure is noticeable and therefore a more and more differentiated hierarchy. With low aggression there is only very little change in the dominance values. This creates a very stable hierarchy with no chances for females to gain a higher position in the group then any male. Figure 2: Female dominance as the summed number of males ranking below each female. Our simulation was based on the model described by Hemelrijk (2002). We used NetLogo 2.1, a purpose-built modelling tool that provides a relatively easy, high-level language for quickly constructing models and visualising results. As described by Hemelrijk the world is a continuous space of 200 x 200 units. Agents have real-valued locations and can move in any of 360 directions. Each agent has certain individual attributes, and a shared set of interaction rules that determine social behavior. The dominance value of each agent determines its hierarchical status and is calculated with the with a formula based on individual rank (DomValue): StepDom (the intensity of aggression) and produces w, the victory or loss value. It is calculated as follows: The relative dominance value is compared with a randomly drawn number between 0 and 1. If it is greater then the drawn number, the agent wins. That means, as higher rank of the agent as more likely it is to win. For the experiment we used the parameter settings Hemelrijk used in different studies. We set up 8 agents, four of each sex (N = 8). Each agent had an personal space of 2, a vision angle of 120 degrees, a maximum perception range of 50 units and a near- perception range of 24 units. The search angle was 90 degrees, the fleeing distance was 2 units, the fleeing angle was 45 degrees at random direction away from the opponent and the chasing distance was 1 unit in the direction of the opponent. To resemble the difference in physical strength between males and females both sexes started out with different winning or loosing tendencies and females had only 80% of the aggression intensity the males had. The experiment was conducted with 4 different conditions. We used two levels of aggression. In the high level the intensity of aggression of males was 1 and of females 0.8, in the low aggression level it was 0.1 for males and 0.08 for females. In both levels attraction was whether turned on or off, resulting in 4 different condition. Each condition was run for 10 times, resulting in a total number of 40 runs. by courtesy of Mr. Minoru Kinoshita, Kyoto University - Goodall, J. (1986). The chimpanzees of Gombe: patterns of behavior. — Belknapp Press of Harvard University Press, Cambridge MA and London. - Hemelrijk C.K. (2002). Despotic societies, sexual attraction and the emergence of male ”tolerance”: an agent-based model — Behaviour 139, p Hemelrijk C.K. (2002). Self-organization and natural selection in the evolution of complex despotic societies. — Biol. Bull. 202, p Yerkes, R.M. (1939). Social dominance and sexual status in chimpanzees. — Quart. Rev. Biol. 14, p de Waal, F.B.M. (1989). Foodsharing and reciprocal obligations among chimpanzees. — J. Human Evolution 18, p Stanford, C.B. (1996). The hunting ecology of wild chimpanzees: Implications for the evolutionary ecology of Pliocene hominids. — Am. Anthropol. 98, p FUTURE WORK We are planning to build our own model based on empirical research data on different macaque species, done in the lab of Bernard Thierry. We plan to implement not only instantaneous action selection, but also simple cognitive state including emotions, drives such as foraging & grooming, and internal models of social relations, which may form the foundation of coalitions.