This document outlines the structure and content of a book on theoretical perspectives of social machines. It discusses various views of social machines, including the mechanistic view which focuses on socio-technical mechanisms. It also examines how different views like the content creation view and extended systems view can co-exist under a relaxed pluralism. The conclusion advocates seeing social machines as systems realized by socio-technical mechanisms and as socially situated machines. The document lists several publications by the author on related topics of social machines and machine intelligence.
e-Research and the Demise of the Scholarly ArticleDavid De Roure
Innovations 2013 - e-Science, we-Science and the latest evolutions in e-publishing. STM International Association of Scientific, Technical & Medical Publishers. 4th December 2013, Congress Centre, Great Russell Street, London, UK.
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Innovations 2013 - e-Science, we-Science and the latest evolutions in e-publishing. STM International Association of Scientific, Technical & Medical Publishers. 4th December 2013, Congress Centre, Great Russell Street, London, UK.
CITIPOL is a venture combining social entrepreneurship and innovation in social scientific methodologies. It is about building a better national conversation that acknowledges the slacktivism of the masses. Ideally, we should answer people's social affordance for socio-civic participation the same way Facebook did for social connectivity.
Open call for coders, data scientists and similar wizards. Contact: herbert [dot] ww [at] gmail [dot] com
How do we better harvest and leverage upon online voices to make a better gauge of the granularity of public sentiment? My intuition is that there is no statistically significant distinction between the texture of sentiment in the real world and sentiment online, when analyzed at the big data level of analysis. As we are today, political outcomes are setup systematically so when people select political representatives, they are saying they adopt the candidate's sociopolitical positions wholesale. Naturally, we should endeavor to create such a platform to better reflect the complexity and granularity of public sentiment.
CITIPOL is a venture combining social entrepreneurship and innovation in social scientific methodologies. It is about building a better national conversation that acknowledges the slacktivism of the masses. Ideally, we should answer people's social affordance for socio-civic participation the same way Facebook did for social connectivity.
Open call for coders, data scientists and similar wizards. Contact: herbert [dot] ww [at] gmail [dot] com
How do we better harvest and leverage upon online voices to make a better gauge of the granularity of public sentiment? My intuition is that there is no statistically significant distinction between the texture of sentiment in the real world and sentiment online, when analyzed at the big data level of analysis. As we are today, political outcomes are setup systematically so when people select political representatives, they are saying they adopt the candidate's sociopolitical positions wholesale. Naturally, we should endeavor to create such a platform to better reflect the complexity and granularity of public sentiment.
Using Behaviour Analysis to Detect Cultural Aspects in Social Web SystemsMatthew Rowe
Presented at:
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Lecturer: Lauri Eloranta
Questions & Comments: https://twitter.com/laurieloranta
Conforming to Destiny or Adapting to Circumstance: The State of Cataloging in...WiLS
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💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
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Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
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Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
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Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
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3. Book Structure
Sections
• Understanding Social
Machines
• Varieties of Social
Machines
• Interdisciplinary Linkages
Chapters
• Views of Social Machines
• The Mechanistic View of
Social Machines
• Views, Revisited
• The Conceptual
Landscape of the Social
Web
4. Book Structure
Sections
• Understanding Social
Machines
• Varieties of Social
Machines
• Interdisciplinary Linkages
Chapters
• Socio-Technical
Mechanisms
• Classifying Social
Machines
• The Social Machine
Morphospace
5. Book Structure
Sections
• Understanding Social
Machines
• Varieties of Social
Machines
• Implications and
Interdisciplinary
Linkages
Chapters
• Social Machines and
Social Mechanisms
• Social Physics
• Knowledge Machines
• Problem-Solving Engines
• The Social Computer
6. Views of Social Machines
Content Creation View Sociable Machines
View
Socially-Situated
Machines View
Extended Systems
View
Cognitive Systems
View
Socio-Computational
View
Narratological View
Process View
7. Views of Social Machines
Content Creation View Sociable Machines
View
Socially-Situated
Machines View
Extended Systems
View
Cognitive Systems
View
Socio-Computational
View
Narratological View
Process View
8. The Mechanistic View
• Focus on socio-technical mechanisms.
• Socio-technical mechanisms?
• Mechanisms:
• “A mechanism for a phenomenon consists of
entities (or parts) whose activities and
interactions are organized so as to be
responsible for the phenomenon.”
• Socio-technical mechanisms:
• Mechanisms made of people and technology.
10. Views of Social Machines
Content Creation View Sociable Machines
View
Socially-Situated
Machines View
Extended Systems
View
Cognitive Systems
View
Socio-Computational
View
Narratological View
Process View
11. Views of Social Machines
Content Creation View Sociable Machines
View
Socially-Situated
Machines View
Extended Systems
View
Cognitive Systems
View
Socio-Computational
View
Narratological View
Process View
12. Room for the Views?
• Content Creation View:
• human and machine components assigned specific
functional roles.
• Extended Systems View:
• human-extended machine cognition.
• Process View:
• processes realized by socio-technical mechanisms.
• Cognitive Systems View:
• phenomena of the cognitive kind.
• Socio-Computational View:
• phenomena of the computational kind.
• Narratological View:
• descriptions of mechanisms (Little, 2018).
13. Socially-Situated Machines
• Smart and Madaan (in press):
• The human mind is a socially-created artefact
(phylogeny / ontogeny).
• Two Red Queens:
• Socio-cognitive complexity.
• Socio-ecological variability.
• Internet provides contact with humanity.
• Social scaffolding of machine intelligence.
• AI as the product of social machines?
15. Conclusion
• Mechanistic View:
• Social machines as systems whose states,
events and processes are realized by socio-
technical mechanisms.
• Relaxed (but not lazy) pluralism:
• Multispectral conceptual analysis.
• Socially-Situated Machines Views:
• Social machines as socially-situated machines.
16. Publications
• Smart, P. R. (2017) Machine Intelligence and the
Social Web: How to Get a Cognitive Upgrade.
COGNITIVE’17, Athens, Greece.
• Smart, P. R. and Madaan (in press) The Social
Scaffolding of Machine Intelligence. Int. Journal of
Adv. Cognitive Systems.
• Smart, P. R. (in press) Predicting Me: A Route to
Digital Immortality? In The Mind–Technology
Problem. Springer, Berlin, Germany.
• Smart et al. (submitted) Towards an Understanding
of Social Machines. AI & Society.
• Smart et al (in prep) Social Machines: A
Mechanistic Perspective.