Abstracts
Abstract
Let us consider the industrial and economic impact of genetic programming and its generic availability to the masses. Is the interaction between genetic programming and the so-called “cognitariat” the beginning of a “genetic revolution” in the industrial sense ? Can we theorise a genetic marketplace, based on the dynamic of bids and asks for genetic algorithms to be made-to-order and leverage any daily routine, thus trading value ? Can genetic algorithms be crossbred to achieve a phenomenon similar to animal domestication, with a transition from wild to domestic type and heterosis, and can such a pressure for domestication percolate to macroeconomic value ? Which economic marketplace would allow such an economic phenomenon to happen and percolate least impeded ? Here I consider the economic implication of evolving genetic algorithms to address any repetitive human task, within a grand genetic marketplace composed of bidders and askers that would be using, evolving and breeding genetic programs (“bots”) and manipulating them as “bot breeders” to leverage their own economic output. I define a cryptocurrency on the buyer’s side, conceived to represent a unit of genetic purchasing power, which I call a “botcoin”.
Keywords:
- Knowledge Economy,
- bitcoin,
- botcoin,
- evolutionary algorithms,
- self-organisation,
- theory of value
Résumé
Considérons l’impact économique et industriel de la programmation génétique et de sa disponibilité générique auprès des masses. L’interaction entre la programmation génétique et le “cognitariat” est-elle le début d’une “révolution génétique” dans le sens industriel? Pouvons-nous théoriser un marché génétique, basé sur la dynamique de l’offre et de la demande, dans lequel des algorithmes génétiques seraient assemblés à la commande pour démultiplier n’importe quelle routine quotidienne, et ainsi représenter une valeur commerciale? Les algorithmes génétiques peuvent-ils être croisés dans une dynamique comparable à la domestication, avec une transition du sauvage au domestique, et des phénomènes d’hétérosis? Une telle pression de domestication peut-elle percoler en une valeur macroéconomique remarquable? Quel modèle de marché pourrait permettre un tel phénomène économique d’exister le plus facilement possible? Je considère ici les implications économiques du métier consistant à évoluer des algorithmes pour automatiser n’importe quelle tâche humaine répétitive, dans le cadre d’un marché génétique composé d’acheteurs et de vendeurs qui élèveraient et sélectionneraient des programmes (“bots”) et les manipuleraient comme des “éleveurs” pour maximiser leur productivité économique. Je définis également une cryptodevise côté acheteur, conçue pour représenter une unité de pouvoir d’achat génétique, le “botcoin”.
Mots-clés :
- Economie de la Connaissance,
- bitcoin,
- botcoin,
- algorithme évolutionnaire,
- auto-organisation,
- théorie de la valeur
Appendices
References
- ALI, S.T., CLARKE, D., and McCORRY , P. (2015). Bitcoin : Perils of an Unregulated Global P2P Currency.
- BEER, M. (2014). An Inquiry Into Physiocracy (Routledge Revivals) (Routledge).
- BERGSTRA, J.A., and de LEEUW, K. (2013). Bitcoin and Beyond : Exclusively Informational Monies. arXiv Preprint arXiv :1304.4758.
- BRIN, S. (1999). Extracting patterns and relations from the world wide web. In The World Wide Web and Databases, (Springer), pp. 172–183.
- BRIN, S., and PAGE, L. (2012). Reprint of : The anatomy of a large-scale hypertextual web search engine. Computer Networks 56, 3825–3833.
- BRIN, S., MOTWANI, R., PAGE , L., and WINOGRAD, T. (1998). What can you do with a Web in your Pocket ? IEEE Data Eng. Bull. 21, 37–47.
- BRUNO, V.I., and NEWFIELD, C. (2010). Can the Cognitariat Speak (E-flux).
- BUSH, V. (1945). As we may think.
- CIMINO, J.J., ELKIN, P.L., and BARNETT, G.O. (1992). As we may think : the concept space and medical hypertext. Computers and Biomedical Research 25, 238–263.
- CLEVELAND, C.J. (1999). Biophysical economics : from physiocracy to ecological economics and industrial ecology (Edward Elgar Publishing, Cheltenham, England).
- DAVENPORT, T.H. (2013). Thinking for a living : how to get better performances and results from knowledge workers (Harvard Business Press).
- DEB, K. (2015). Multi-objective evolutionary algorithms. In Springer Handbook of Computational Intelligence, (Springer), pp. 995–1015.
- FOX-GENOVESE, E., and FOX, G.E. (1976). The origins of physiocracy : Economic revolution and social order in eighteenth-century France (Cornell University Press Ithaca).
- GONG, Y.-J., CHEN, W.-N., ZHAN Zhan, Z.-H., ZHANG, J., Li, Y., and ZHANG, Q. (2015). Distributed evolutionary algorithms and their models : A survey of the state-of-the-art. Applied Soft Computing.
- HUANG, D.Y., DHARMDASANI, H., MEIKLEJOHN, S., DAVE, V., GRIER, C., McCOY, D., SAVAGE, S., WEAVER, N., SNOEREN, A.C., and LEVCHENKO, K. (2014). Botcoin : monetizing stolen cycles. In Proceedings of the Network and Distributed System Security Symposium (NDSS).
- KREBS, B. (2013). Botcoin: Bitcoin Mining by Botnet. Krebs on Security (July 13, 2013).
- MEEK, R.L. (2013). Economics of physiocracy (Routledge).
- NASH, Jr, J.F. (1950). The bargaining problem. Econometrica : Journal of the Econometric Society 155–162.
- NEILL, T.P. (1948). Quesnay and physiocracy. Journal of the History of Ideas 9, 153–173.
- NEWFIELD, C. (2010). Structure et silence du cognitariat. Multitudes 68–78.
- PAGE, L., BRIN, S., MOTWANI i, R., and WINOGRAD, T. (1997). PageRank : Bringing order to the web (Stanford Digital Libraries Working Paper).
- PAGE, L., BRIN, S., MOTWANI i, R., and WINOGRAD, T. (1999). The PageRank citation ranking : bringing order to the Web.
- PLOHMANN, D., and GERHARDS-PADILLA, E. (2012a). Case study of the miner botnet. In Cyber Conflict (CYCON), 2012 4th International Conference on, (IEEE), pp. 1–16.
- PLOHMANN, D., and GERHARDS-PADILLA, E. (2012b). Case study of the miner botnet. In Cyber Conflict (CYCON), 2012 4th International Conference on, (IEEE), pp. 1–16.
- PLOHMANN, D., and GERHARDS-PADILLA, E. (2012c). Malware and botnet analysis methodology. Cybercrime 22.
- SOLTANI, S., SENO, S.A.H.,NEZHADKAMALI, M., and BUDIARTO, R. (2014). A survey on real world botnets and detection mechanisms. International Journal of Information and Network Security (IJINS) 3, 116–127.
- VASEK, M., and MOORE, T. (2015). There’s No Free Lunch, Even Using Bitcoin : Tracking the Popularity and Profits of Virtual Currency Scams. In FC’15 : Proceedings of the 19th International Conference on Financial Cryptography and Data Security.
- ANG, Z., EMMERICH, M., BÄCK, T., and KOK, J. (2015). Multicriteria Inventory Routing by Cooperative Swarms and Evolutionary Algorithms. In Bioinspired Computation in Artificial Systems, (Springer), pp. 127–137.