Small worlds: the dynamics of networks between order and randomness
Small worlds: the dynamics of networks between order and randomness
Cooperation without memory or space: tags, groups and the prisoner's dilemma
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Evolving social rationality for MAS using "tags"
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
FirmNet: the scope of firms and the allocation of task in a knowledge-based economy
Computational & Mathematical Organization Theory
Towards determining cooperation based on multiple criteria
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Self-adaptation strategies to favor cooperation
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
Tag-based modules in genetic programming
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Change your tags fast! - a necessary condition for cooperation?
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
Sociologically inspired approaches for self-*: examples and prospects
Self-star Properties in Complex Information Systems
Self-organising, open and cooperative p2p societies – from tags to networks
Engineering Self-Organising Systems
State-Dependent risk preferences in evolutionary games
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
Choose your tribe! – evolution at the next level in a peer-to-peer network
ESOA'05 Proceedings of the Third international conference on Engineering Self-Organising Systems
AP2PC'08 Proceedings of the 7th international conference on Agents and Peer-to-Peer Computing
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We present a model that demonstrates the evolution of groups composed of cooperative individuals performing specialised functions. Specialisation and cooperation results from an evolutionary process in which selection and reproduction is based on individual fitness. Specialists come to help (through the donation of resources) their non-kin group members, optimising their behaviour as a team and producing a fitter group. The mechanism that promotes this benevolent, cooperative group behaviour is based on the concept of a "tag". Tags are observable markings, cues or displays. Individuals can observe the tags of others and take alternative actions based on those observations (e.g. to altruistically help or not). We show that even random (or dumb) searching for appropriate partners produces significant levels of specialisation and cooperation. Additionally we demonstrate that nonrandom (or smart) searching dramatically increases the effect.