Category: Homo sapiens sapiens
3 different ways to identify an emotion
(1) The physiological brain state;
(2) The way an individual describes the feeling;
(3) The behaviour the feeling leads to.
Regarding the Phylogeny of Tickle-Induced Laughter
Resource-Related Deceptive Alarm
A new report by {Wheeler, B. (June 2009), Proceedings of the Royal Society B} exposes ‘R.R.D.A.’ amongst capuchin monkeys in Iguazá National Park, Argentina. The deceitful lil’ buggers proffer two-syllable cooing sounds, normally uttered in response to danger, for “no apparent reason […] other than to chase the other individuals off the food platform”.
Altruism, Inter-group conflict, Demography
Well, humans, hasn’t it been an interesting week in the modelling of your behaviour?
(1) To start off, {Powell et al. (2009), Science, 324, p. 1298-1301} convincingly argue that it was population density, not genetic change, that got the ball rolling on your symbolic and technological complexity in the Late Pleistocene: (z measures “level of ability at some cultural skill or in some cultural domain”.)
An illustration, from a single iteration and shown at 25-generation intervals, of the spatial structuring of skill accumulation in a heterogeneous subpopulation density world. The left side of each subplot is populated at density Dhigh (0.02) and the right side at density Dlow (0.002). Each subpopulation is marked by a circle, centered on the spatial location of the group and with diameter proportional to its mean z value. Regional mean z values are also given at the top of each subplot.
(2) And {Bowles, S. (2009), Science, 324, p. 1293-1298} argues that it was mortality due to inter-group rivalry that gave rise to your much-touted costly individual altruism. Particularly interesting is his analysis of Pleistocene mortality rates resulting from inter-group conflict:
Sources of archaeological (filled squares) and ethnographic (filled dots) evidence on warfare and genetic (open dots) data on between-group differences.
Summary statistics: Fraction of total mortality due to warfare.
Laetoli footprints, 3.6 Ma
Human Evolution
Overview of Dominant Approaches to Human Behavioural Evolution
So, here’s an overview of current Schools of Thought tackling Human Behavioural Evolution:
| School | Neo-Darwinistic Sociobiology | Human Behavioural Ecology | Environmental Psychology | Dual-Inverse Theory | Memetics |
| Focus of selection | Gene / individual / group | Individual / behaviour | Individual / behaviour / psychological mechanism |
Individual / group / gene / culture variantPotential / predicted impact on genetic and cultural fitness | Meme / gene |
| Measure of natural selection | Reproductive success or proxy measure of fitness |
Reproductive success of proxy measure of fitness (enegetic balance) |
Potential / predicted impact on reproductive success / fitness |
Potential / predicted impact on genetic and cultural fitness |
Potential impact on genic and memic fitness |
| Methodology | Genic functionalism- construct genic level fitness enhancing / optimality models, test data against them |
Test data against optimality models, ecological expectations / prediction models from behavioral ecology |
Construct selection scenarios and describe predicted fitness increasing strategies, test with datasets |
Construct mathematical and conceptual models and simulations, sometimes test with datasets |
Construct selection scenarios, controlled thought experiments |
| Core causes of evolution of human behaviour | Genetic evolution produces both human general behavioural capacities and specific behavioural patterns / strategies |
Behaviour and behavioural strategies arise from adaptation to ecological and other selective pressures |
Psychological mechanisms (and thus behaviour) arose/arise through adaptation to pressures of the Environment or Evolutionary Adaptiveness (Pleistocene) and Adaptivity Relevant Environments |
Gene-culture coevolution results in patterns of complex, symbolic and linguistic human behaviour |
Selfish meme replication and meme-gene coevolution result in most human behaviour |
| Basic premise(s) | Humans are very complex and highly social animals whose behaviour is best analyzed via Neo-Darwinian approaches |
Humans, while highly adaptable, can be modeled using same premises as other animals, socioecological contexts drive most selection pressures |
Human universals and human behavioural strategies are reflections of adapted modules (psychological mechanisms) in the mind |
Humans are under genic and group selection for physical and cultural traits; culture and genetic co-evolve via natural selection |
Memes/memeplexes are primarily responsible for human behavioural variation and culture |
| Data | Ethnographic datasets, observations, comparisons with other animals especially primates, fossil record |
Behaviour observations, physiological and ecological measurements, ethnographic datasets |
Questionnaires, surveys, interviews, demographic and behavioural datasets, public records |
Ethnographic datasets, mathematical models | Popular ethnography, survey and interviews, general cultural information |
Adapted from Fuentes, A. (2009), Evolution of Human Behavior, Oxford University Press, Oxford/New York, p. 60-61.
Mating behaviour
‘Sociosexuality’ measures mating style preference, expressed on a continuum from extreme monogamy (low index) to extreme polygamy (high index). A 25-language 48-nation >14.000-participant study (Schmitt, David (2005), ‘Sociosexuality from Argentina to Zimbabwe: A 48-nation study of sex, culture, and strategies of human mating’, Behavioral and Brain Sciences, 28, p. 247-311) found that men are consistently more enthusiastic about polygamy than women:
That much is expected. In addition, the study found that elevated male/female ratios and environmental stressors correlate with lower sociosexuality:






