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Issue No.01 - January/February (2009 vol.13)
pp: 90-93
Carl Hewitt , Massachusetts Institute of Technology
ABSTRACT
Significant changes in hardware, software, and applications have set in place the conditions for a "perfect disruption" that could signal a foundational shift in how large-scale Internet applications are developed. Hewitt posits that the shift is away from mental agents toward what he calls organizations of restricted generality (ORGs), which are based on the way people interact within organizations rather than the way individuals process information in their brains.
INDEX TERMS
agent systems, Internet development, ORG, organization of restricted generality, software development, systems, peering
CITATION
Carl Hewitt, "Perfect Disruption: The Paradigm Shift from Mental Agents to ORGs", IEEE Internet Computing, vol.13, no. 1, pp. 90-93, January/February 2009, doi:10.1109/MIC.2009.15
REFERENCES
1. C. Hewitt, "ORGs for Scalable, Robust, Privacy-Friendly Client Cloud Computing," IEEE Internet Computing, Sept./Oct. 2008, pp. 96–99.
2. C. Hewitt, "A Historical Perspective on Developing Foundations for Client Cloud Computing: The Paradigm Shift from Inconsistency Denial to Rapid Recovery" (revised version of "Development of Logic Programming: What Went Wrong, What Was Done About it, and What It Might Mean for the Future" AAAI Workshop on What Went Wrong, AAAI 08.), Google Knol, 2008; http:/perspective.carlhewitt.info.
3. C. Hewitt, "Norms and Commitment for ORGs (Organizations of Restricted Generality): Strong Paraconsistency and Participatory Behavioral Model Checking," Google Knol, 2008; http:/normsandcommitmentfororgs.carlhewitt.info .
4. C. Hewitt, P. Bishop, and R. Steiger, "A Universal Modular Actor Formalism for Artificial Intelligence," Proc. Int'l Joint Conf. Artificial Intelligence (IJCAI 73), 1973, pp. 235–245; http://dli.iiit.ac.in/ijcai/IJCAI-73/PDF 027B.pdf.
5. C. Hewitt, "Common Sense for Concurrency and Strong Paraconsistency using Unstratified Inference and Reflection," Google Knol, 2008; http:/commonsense.carlhewitt.info.
6. T. Knight, "An Architecture for Mostly Functional Languages," Proc. ACM Lisp and Functional Programming Conf., ACM, 1986, pp. 105–112.
7. T. Harris et al., "Composable Memory Transactions," Comm. ACM, Aug. 2008, pp. 91–100.
8. Y. Wang and J. Laird, Integrating Semantic Memory into a Cognitive Architecture, tech. report CCA-TR-2006-02, Center for Cognitive Architectures, Univ. of Michigan, 2006.
9. M. Minsky, The Emotion Machine, Simon &Schuster, 2006.
10. S. Benfield, J. Hendrickson, and D. Galanti, "Making a Strong Business Case for Multi-Agent Technology," Proc. Autonomous Agents and Multi-Agent Systems (AAMAS 06), ACM Press, 2006, pp. 10–15.
11. B. Motik, P. Patel-Schneider, and B. Grau, OWL 2 Web Ontology Language: Direct Semantics, W3C recommendation, 8 Oct. 2008; www.w3.org/TR/2008WD-owl2-semantics-20081202 /.
12. E. Norling and F. Ritter, "Towards Supporting Psychologically Plausible Variability in Agent-Based Human Modeling," Proc. Autonomous Agents and Multi-Agent Systems (AAMAS 04), ACM Press, 2004, pp. 758–765.
13. M. Huhns et al., "Research Directions for Service-Oriented Multi-Agent Systems," IEEE Internet Computing, Nov./Dec. 2005, pp. 65–70.
14. C. Petrie, "Agent-Based Engineering, the Web, and Intelligence," IEEE Expert, Nov./Dec. 1996, pp. 24–29.
15. C. Petrie, "Agent-Based Software Engineering," invited talk, Practical Application of Intelligent Agents and Multiagent Technology (PAAM 00), 2000; http://www-cdr.stanford.edu/~petrie/agents comm/.
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