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Directions of Emergence. Reputation and Social Norms   Rosaria Conte LABSS/ISTC-CNR AISB, Aberdeen, UK,  April 1- 4, 2008
Emergence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Need for General Theory of Downward Causation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Reputation
From Image to Reputation through Gossip ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why Bother?  ,[object Object],[object Object],[object Object],Figura  Interplay between informational and mateiral, direct and indirect reciprocity.  Reproduced from Conte and Paolucci (2002). Step 1: Direct material reciprocity A B give Step 2: direct informational reciprocity A C tell … A n B A tell tell tell Step 4: indirect informational reciprocity give give … A n B A give Step 3: Indirect material reciprocity
As a Meta-Belief… ,[object Object],[object Object],Implicit source of rumour Indefinite author of evaluation Image = social evaluation Reputation = meta-evaluation. This implies: Rumours spread even when nobody believes them!
Simulation-based Exploration ,[object Object],[object Object],[object Object]
REP-AGE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Simulations with REPAGE
Experimental Conditions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],Findings.  Find Out Good Sellers
Average Quality ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Uncertainty Vs Quality:  L1 Uncertainty (= “I DONT KNOW” answers) grows with quality
Uncertainty Vs  Quality: L2 In L2 (I + R),  opposite correlation:, uncertainty decreases with growing quality
Evolution of uncertainty (I Don't Know) in 100 turns with only image circulating: values remain constantly high. Evolution of Uncertainty: L1
Evolution of Uncertainty: L2
Preliminary Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Norms
Two Current Views ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
2-way Dynamics of Social Norms  (EMIL project:  http://emil.istc.cnr.it/  ) ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],The Input
N-Recognition Module B  , R  , A  > v c D  , V    < v c N-bel Input  N-Board E Board of Auth. Y N
Why Bother? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Preliminary Findings ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Immergence   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Final Remarks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Aberdeen2 1

Notas do Editor

  1. Emergence will be shown to consist of multi-directional, in particular bottom-up and top-down, processes. The latter, also called downward causation, in turn consist of specific processes, including 2nd-order emergence (see, for example, Gilbert, 2004) and immergence (see Andrighetto et al., 2008a, and current results of the EMIL project, http://emil.istc.cnr.it/ ). Immergence is the process by means of which higher-level effects retroact on the lower-level entities that generated them, modifying their operating rules and reinforcing or reproducing the initial generative process. Two examples will be analyzed at some length, reputation and social norms. Reputation can be seen as a 2nd-order emergent effect of shared informational reciprocity (Dunbar, 1998; Conte and Paolucci, 2002; Sommerfeld et al., 2007). A computational system (REPAGE), built up in the last five years within the LABSS, will be presented, and simulation results showing how it performs in simple multi-agent systems will be discussed. Commonly, norms are either top-down (legal norms) or bottom-up (conventions) effects. In this talk, they will be defined as immergent phenomena (see Andrighetto et al., 2008b), i.e. behaviors that spread over a population because and to the extent that the corresponding normative beliefs and commands spread as well. After a short incursion on a normative agent (EMIL-A) architecture, as worked out within the EMIL project (see D.1.2 on the EMIL site), the role of normative agents will be shown by simulation findings. These illustrate the different macro-social regularities obtained within two separate populations of normative agents and social conformers.