scholarly journals Reports of the AAAI 2009 Fall Symposia

AI Magazine ◽  
2010 ◽  
Vol 31 (1) ◽  
pp. 88
Author(s):  
Roger Azevedo ◽  
Trevor Bench-Capon ◽  
Gautam Biswas ◽  
Ted Carmichael ◽  
Nancy Green ◽  
...  
Keyword(s):  
Social Sciences ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Threshold Effect ◽  
Educational Systems ◽  
Cognitive Architectures ◽  
Biologically Inspired ◽  
Symposium Series ◽  
Complex Adaptive ◽  
Computational Argumentation

The Association for the Advancement of Artificial Intelligence was pleased to present the 2009 Fall Symposium Series, held Thursday through Saturday, November 5–7, at the Westin Arlington Gateway in Arlington, Virginia. The Symposium Series was preceded on Wednesday, November 4 by a one-day AI funding seminar. The titles of the seven symposia were as follows: (1) Biologically Inspired Cognitive Architectures, (2) Cognitive and Metacognitive Educational Systems, (3) Complex Adaptive Systems and the Threshold Effect: Views from the Natural and Social Sciences, (4) Manifold Learning and Its Applications, (5) Multirepresentational Architectures for Human-Level Intelligence, (6) The Uses of Computational Argumentation, and (7) Virtual Healthcare Interaction.

scholarly journals Reports of the AAAI 2010 Fall Symposia

AI Magazine ◽  
2011 ◽  
Vol 32 (1) ◽  
pp. 93
Author(s):  
Roger Azevedo ◽  
Gautam Biswas ◽  
Dan Bohus ◽  
Ted Carmichael ◽  
Mark Finlayson ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Manifold Learning ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Computational Models ◽  
Educational Systems ◽  
Commonsense Knowledge ◽  
Quantum Informatics ◽  
Symposium Series ◽  
Complex Adaptive

The Association for the Advancement of Artificial Intelligence was pleased to present the 2010 Fall Symposium Series, held Thursday through Saturday, November 11-13, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the eight symposia are as follows: (1) Cognitive and Metacognitive Educational Systems; (2) Commonsense Knowledge; (3) Complex Adaptive Systems: Resilience, Robustness, and Evolvability; (4) Computational Models of Narrative; (5) Dialog with Robots; (6) Manifold Learning and Its Applications; (7) Proactive Assistant Agents ; and (8) Quantum Informatics for Cognitive, Social, and Semantic Processes. The highlights of each symposium are presented in this report.

Complex Adaptive Systems in the Behavioral and Social Sciences

1997 ◽  
Vol 1 (1) ◽  
pp. 42-71 ◽  
Author(s):  
Roy J. Eidelson
Keyword(s):  
Social Sciences ◽  
International Relations ◽  
Organizational Development ◽  
Complex Adaptive Systems ◽  
Coalition Formation ◽  
Criminal Behavior ◽  
Adaptive Systems ◽  
Underlying Structure ◽  
Political Transitions ◽  
Complex Adaptive

This article examines applications of complexity theory within the behavioral and social sciences. Specific attention is given to the fundamental characteristics of complex adaptive systems (CAS)—such as individuals, groups, and societies—including the underlying structure of CAS, the internal dynamics of evolving CAS, and how CAS respond to their environment. Examples drawn from psychology, sociology, economics, and political science include attitude formation, majority–minority relations, social networks, family systems, psychotherapy, norm formation, organizational development, coalition formation, economic instabilities, urban development, the electoral process, political transitions, international relations, social movements, drug policy, and criminal behavior. The discussion also addresses the obstacles to implementing the CAS perspective in the behavioral and social sciences and implications for research methodology.

scholarly journals Emergent Specialization in Biologically Inspired Collective Behavior Systems

2008 ◽  
pp. 215-253 ◽  
Author(s):  
G. S. Nitschke ◽  
M. C. Schut ◽  
A. E. Eiben
Keyword(s):  
Complex Adaptive Systems ◽  
Collective Behavior ◽  
Adaptive Systems ◽  
Future Research ◽  
Problem Solver ◽  
Biologically Inspired ◽  
Design Methodologies ◽  
Complex Adaptive ◽  
Optimal Efficiency ◽  
Behavior Systems

Specialization is observable in many complex adaptive systems and is thought by many to be a fundamental mechanism for achieving optimal efficiency within organizations operating within complex adaptive systems. This chapter presents a survey and critique of collective behavior systems designed using biologically inspired principles. Specifically, we are interested in collective behavior systems where specialization emerges as a result of system dynamics and where emergent specialization is used as a problem solver or means to increase task performance. The chapter presents an argument for developing design methodologies and principles that facilitate emergent specialization in collective behavior systems. Open problems of current research as well as future research directions are highlighted for the purpose of encouraging the development of such emergent specialization design methodologies.

scholarly journals Reports of the AAAI 2011 Fall Symposia

AI Magazine ◽  
2012 ◽  
Vol 33 (1) ◽  
pp. 71-78
Author(s):  
Sam Blisard ◽  
Ted Carmichael ◽  
Li Ding ◽  
Tim Finin ◽  
Wende Frost ◽  
...  
Keyword(s):  
Complex Adaptive Systems ◽  
Intelligent Agents ◽  
Adaptive Systems ◽  
Common Ground ◽  
Open Government ◽  
Question Generation ◽  
Multiagent Coordination ◽  
Symposium Series ◽  
Complex Adaptive ◽  
Energy Information

The Association for the Advancement of Artificial Intelligence was pleased to present the 2011 Fall Symposium Series, held Friday through Sunday, November 4–6, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the seven symposia are as follows: (1) Advances in Cognitive Systems; (2) Building Representations of Common Ground with Intelligent Agents; (3) Complex Adaptive Systems: Energy, Information and Intelligence; (4) Multiagent Coordination under Uncertainty; (5) Open Government Knowledge: AI Opportunities and Challenges; (6) Question Generation; and (7) Robot-Human Teamwork in Dynamic Adverse Environment. The highlights of each symposium are presented in this report.

scholarly journals Estudos organizacionais e complexidade: Stacey e Morin

2019 ◽  
Vol 12 (2) ◽  
pp. 350
Author(s):  
Sérgio Luis Boeira ◽  
Ana Elise Cardoso Inácio ◽  
Jorge Altair Pinto Stürmer
Keyword(s):  
Social Sciences ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Life Experiences ◽  
Organizational Studies ◽  
Anglo Saxon ◽  
The Social ◽  
Complex Adaptive ◽  
Latin Culture ◽  
The One

This theoretical essay aims to identify some approaches to the complexity of comparing contributions of internationally renowned authors as a reference in organizational studies, such as Stacey and Morin. In the literature that deals with the theme of complexity, many similar concepts are observed; several contributions of authors, some trained in natural sciences, others in the human sciences and philosophy. It is a theme that is recognized both inter and transdisciplinary, and it has been gaining pulse since the 1980's. The conclusion is that Stacey and Morin have significantly contributed to the understanding of the organizational process and the differences between their approaches can be understood by comparing their life experiences and academic training. Furthermore, it is evident that overtime Stacey supports the critical and broad approach advocated by Morin complexity. On the one hand, while Stacey remains in the social sciences, Morin articulates social sciences as well as biophysics and philosophy. Regarding existing disputes in the field of complexity studies, this comparison indicates an improvement from the perspective of complexity intelligence (Latin culture) over the angle of complex adaptive systems (Anglo - Saxon culture).

scholarly journals Reports of the AAAI 2011 Spring Symposia

AI Magazine ◽  
2011 ◽  
Vol 32 (3) ◽  
pp. 119-127
Author(s):  
Mark Buller ◽  
Paul Cuddihy ◽  
Ernest Davis ◽  
Patrick Doherty ◽  
Finale Doshi-Velez ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Multirobot Systems ◽  
Commonsense Reasoning ◽  
Human Agent ◽  
Business Agility ◽  
Symposium Series ◽  
Agent Collaboration ◽  
Complex Adaptive

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University’s Department of Computer Science, presented the 2011 Spring Symposium Series Monday through Wednesday, March 21–23, 2011 at Stanford University. The titles of the eight symposia were AI and Health Communication, Artificial Intelligence and Sustainable Design, AI for Business Agility, Computational Physiology, Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, Logical Formalizations of Commonsense Reasoning, Multirobot Systems and Physical Data Structures, and Modeling Complex Adaptive Systems As If They Were Voting Processes. This report summarizes the eight symposia.

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