Juliette Rouchier, Martin O'Connor, François Bousquet (2001)
The creation of a reputation in an artificial society organised by a gift system
Journal of Artificial Societies and Social Simulation
vol. 4, no. 2,
To cite articles published in the Journal of Artificial Societies and Social Simulation, please reference the above information and include paragraph numbers if necessary
<https://www.jasss.org/4/2/8.html>
Received: 01-Nov-00 Accepted: 01-Feb-00 Published: 31-Mar-01
Figure 1. Attributes and actions of the agents, the group and the universe to which they all belong |
Figure 2. How the agent tests all its attributes to decide which gift it is eventually going to give. "Rd" means a random number between 0 and 1. The two motivations are always such that: motivation for prestige + motivation for sharing = 10. Each agent calculates according to its characteristics. |
Figure 3. How the group calculates the increase or decrease of reputation for each agent before calculating ranks |
Motivation for prestige / motivation for sharing = motivation change constant * (prestige reputation / integration reputation )
Motivation for prestige + motivation for sharing = 10.The evolution of the esteem is such that:
Figure 4. One time step in the universe |
Table 1: the different types of simulations. | ||
Type of simulation | Motivation for prestige | Esteem |
Basic | The same for all agents, motivation for prestige between 0 and 10 | The same for all agents, value between 2 and 8 |
Motivation evolves | Motivation evolves with reputation | The same for all agents, value between 2 and 8 |
Esteem evolves | The same for all agents, motivation for prestige between 0 and 10 | Esteem evolves with gifts made and received |
Table 2: parameters that define one simulation. | |
Type of simulation | Parameters stated at the beginning |
Basic | Fixed esteem, fixed motivation |
Motivation evolves | Fixed esteem, motivation constant |
Esteem evolves | Initial esteem, fixed motivation |
Table 3: types of initial settings (characterised as thresholds for values of esteem and motivation for prestige) that give very different societies. Based on at least 50 simulations in each case. | ||
Esteem >= 6 | Esteem < 6 | |
Motivation for prestige <= 5 | No elite, prestige reputation and sharing one quite high and variable. A lot of gifts. | Very few gifts, all reputation values are low |
6 <= Motivation for prestige <= 9 | Well separated elite, quite stable | Elite well separated often changed |
Motivation for prestige = 10 | Continuity between a group with no reputation to the elite | Small differentiation for an unstable elite |
Figure 5. Esteem of the 20 highest ranking agents when esteem is less than 4 at the beginning |
Figure 6. Esteem of the 20 highest ranking agents when the esteem is higher than 6 at the beginning of the simulation |
Figure 7. Esteem of the 20 highest ranking agents when the esteem is higher than 6 at the beginning of the simulation |
Table 4: value of the esteem for a motivation of 5 | |
Initial esteem | Esteem after 200 steps in a simulation with motivation for prestige of 5 |
< 6 | Esteem almost homogenous and less than 3 for all |
= 6 | Esteem oscillates for all agents between 2 and 8 |
> 6 | Esteem almost homogenous and more than 7 for all agents |
Table 5: value of the esteem for a motivation of 8 | |
Initial esteem | Esteem after 1000 steps in a simulation with motivation for prestige of 8 |
< 3 | Esteem falls: almost homogenous, less than 3 |
3-4 | Esteem increases for a small group, whereas the others have a low esteem |
> 4 | Esteem increases for all: almost homogenous, more than 7 |
Figure 8. Esteem of 20 agents with highest ranks in a simulation where motivation for prestige is high |
Figure 9. Prestige (X axis) and integration (Y axis) reputations for agents that all have a high esteem. An elite can be distinguished with 4 agents (not necessarily the same all the time). |
Figure 10. Evolution of the rank of two agents that have an evolving esteem beginning at 6 in a society where motivation is 5. There is no stability. |
Figure 11. Integration reputation as a function of prestige reputation in a simulation where esteem evolves from 4 and where motivation for prestige is 8. The agents with high esteem are in pink: there are 6 of them. A very clear elite can be identified with 4 agents, and it is very stable. (The situation is the one witnessed in table 3). |
Figure 12. Prestige gifts that are received by agents in 25 steps. In blue are represented the agents with high esteem, and in red are those with low esteem. The difference in number of gift received is very clear between these two groups. |
Figure 13. Evolution of the rank of three agents during one simulation where esteem varies beginning at 4 with a motivation for prestige of 8. Two of the agents are among the 6 that have a high esteem (here in blue and pink): they stay in the elite forever as soon as they get in. The yellow agent (with low esteem) can get in the 10 first ranks for a while but never stays in. |
motivation for prestige / motivation for sharing = ((motivation change constant) * prestige reputation / integration reputation)
Table 6: Evolution of the motivation when the esteem is 8 (maximal value), depending on the motivation change constant | |
Constant | Evolution of motivation for prestige |
<= 5 | Motivation of all agents falls, until the average is 2 after 800 steps. Individually, the motivations can increase and decrease for a while, but eventually none is above 6 after 900th step. |
6 - 7 | Only 10 agents keep a high motivation for prestige. After 800 simulation steps there are only 10 candidates for prestige, but this group changes: some are replaced and all agents see their motivation oscillate. The average motivation in the group is less than 3. |
>= 8 | All motivations for prestige are above 6. For all agents, it is maximal and falls very occasionally. The average is very stable, slightly less than 9. |
Table 7: Evolution of the motivation when the esteem is 5, depending on the motivation change constant | |
Constant | Evolution of motivation for prestige |
<= 9 | Motivation for prestige falls for all agents. It takes about 1500 steps until no agent is tempted by prestige anymore. |
10 - 13 | A minority always has a very high motivation, and those can be replaced every 100 steps. (The situation takes about 1500 steps to become stable. If the constant is 10, there are only 5 to 10 agents that want prestige. If it is 13, there are about 20 to 25.) |
>= 14 | All agents want prestige almost from the beginning. All motivations fall and go back to maximum. |
Figure 14. Average of the motivation for prestige in simulations where constant is 9, for different values of esteem. To see the motivation stay high the esteem needs to be maximal (in yellow the esteem is 8, in blue it is 5 and in pink 2). |
Figure 15. Number of agents that are motivated by prestige (having a motivation higher than 6) when the constant is 9 in a 1000 step simulation. The result is dependent on the esteem in the group: in yellow the esteem is 8, in blue it is 5 and in pink 2. |
Figure 16. Sharing reputation as a function of prestige reputation in a simulation where the esteem is 5 and the variable constant is 9. A minority of agents is tempted by the prestige for a long time (in pink), during which they constitute a stable elite. In blue: the agents that prefer to share. |
Figure 17. Sharing reputation as a function of prestige reputation among the agents in a simulation where they have a high esteem and their motivation varies with constant 10. The elite of 4 agents is clearly distinguishable. |
Figure 18.The ranks of three agents in a simulation where motivation varies and where esteem is high. As seen before, agents can be part of the elite for a long time. What is new here is the possibility of an agent being in the lowest ranks for a long time. |
Table 8: All situations that are encountered in simulations, and conditions under which they occur (basic = fixed, variable = either esteem or motivation evolves). | ||
No differentiation | Two groups: an elite and others | |
No clear stability of agents in the elite | Basic: Motivation <= 5 / any esteem- Variable: Motivation <= 5 / Evolving esteem | |
Stability for some agents in the first ranks for 20 steps | Variable: Motivation >= 6 / Evolving esteem < 3 at the beginning | Basic: Motivation = 9-10 / Esteem <= 5 - Variable: Motivation >= 9/ Evolving esteem > 7 |
Stability of some agents in the first ranks for 20 to 200 steps | Basic: motivation = 9-10 / Esteem >= 6 - Variable: Motivation >= 6 / Evolving esteem > 5 | Basic: Motivation = 7-8/ Esteem <= 5 |
Stability of some agents in the first ranks for 500 steps or more | Basic: fixed motivation = 6-8 / esteem >= 7 - Variable: motivation >= 6 / Evolving esteem 3-4 at the beginning | |
AGUILAR J. L., 1984, Trust and Exchange: Expressive and Instrumental Dimensions of Reciprocity in a Peasant Community, Ethos, vol 12, n. 1, 3-29 .
BOAS,F., 1966, Kwakiutl Ethnography, The University of Chicago Press, Chicago.
BOUSQUET,F. and I. Bakam and H. Proton and C. Le Page (1998) Cormas: Common-Pool Resources and Multi-Agent Systems, Lecture Notes in Artificial Intelligence 1416.
BOUSQUET F., 1994, Des milieux, des poissons, des hommes : Ètude par simulations multi-agents, Orstom Èditions.
CHI Wong H., Sycara K., 1999, Adding Security and Trust to Multi-Agent Systems, In : Proceedings of " Deception, Fraud and Trust in Agent Societies ", Cristiano Castelfranchi and Yao-Hua Tan and Rico Falcone and Babak Sadighi Firozabadi, pp 149-162, National Research Council, Rome, Italy.
DORAN, J., Palmer, M., Gilbert, N., Mellars, P., 1994, The EOS project : modelling Upper Paleolithic social change, in Simulating Societies. The computer Simulation of Social Phenomena, UCL Press, London.
DORAN J., Palmer M., 1995, The EOS Project: Integrating two Models of paleolithic social change. In : Artificial Societies. The Computer Simulation of Social Life, Conte, R., Gilbert, N. (eds), UCL Press, London, pp 103-125.
FERBER,J., 1999, Multi-Agent Systens. An introduction to Distributed Artificial Intelligence. Addison-Wesley, Harlow, England.
GILBERT N., 1995, Emergence in Social Simulation, In : Artificial Societies. The Computer Simulation of Social Life, Conte, R., Gilbert, N. (eds), UCL Press, London, 144-156.
GODELIER,M., 1996, L'Ènigme du don, Fayard, Paris.
LAHNO B., 1995, Trust and Strategic Rationality, Rationality and society, vol 7, n. 4, pp 442-464.
MALINOWSKI B., 1922, Argonauts of the Western Pacific: an account of native enterprise and adventure, Routledge & Kegan Paul, London.
MAUSS M., 1968, L'Ènigme du don, In : Sociologie et anthropologie, PUF, Paris.
NICOLAS G. 1986, Don rituel et èchange marchand dans une sociètè sahèlienne, Institut d'ethnologie, Paris.
ROUCHIER, J., Barreteau, O., Bousquet, F.: Evolution and Coevolution of Individuals and Groups. In: Yves Demazeau (ed), Proceedings of the Third International Conference on Multi-Agent Systems, IEEE Los Alamitos, USA (1998) 254-260.
ROUCHIER J., 1996, Le Potlatch : Une modèlisation par les systëmes multi-agents, Master Thesis, Universitè d'Orlèans.
VAN de Ven Jeroen, 2000, The economics of the Gift, http://cwis.kub.nl/~few5/center/phd stud/ven/,
WEBER J., 1985, C=R-I, My God, My Gold ! (Rèflexion sur la Portèe du concept de consumation, La revue du MAUSS, vol.13.
Return to Contents of this issue
© Copyright Journal of Artificial Societies and Social Simulation, 2001