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.

Price discovery by the market's mind: an investor's perspective on numerical archetypes

2013 ◽  
Vol 5 (2) ◽  
pp. 140-153
Author(s):  
Patrick Schotanus
Keyword(s):  
Complexity Theory ◽  
Complex Adaptive Systems ◽  
Intelligent Agents ◽  
Adaptive Systems ◽  
Price Discovery ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Modern Society ◽  
Necessary Condition ◽  
Complex Adaptive

The aim of this paper is to contribute to Jung's later work, with a particular focus on the numerical archetypes viewed from an investor's perspective. It attempts to achieve this via a three-pronged approach. First, placing complex psychology in the framework of complexity theory allows a robust acknowledgement and treatment of ‘elusive’ macroscopic properties, i.e. archetypal dynamics, involved in the ordering of a mind as a complex adaptive system. Second, modern insights in number sense (the direct intuition of what numbers mean) provide neuroscientific support for numerical archetypes and clarify their primacy. Third, this paper points to the empirical relevance of numerical archetypes in price discovery, the self-organizing principle of the capital markets (which allocate resources in modern society). The resulting proposition is that the (collective) mind's unconscious and conscious forces can be considered as ‘intelligent’ agents. The competition between these two domains provides the necessary condition to endogenously generate innovative outcomes, the essential capability of complex adaptive systems. According to this view producing such adaptive novelty is achieved in the form of intuitive insights and imagination, which result in a vast array of symbols, e.g. prices in the case of the market's mind.

Study on Complex Adaptive Features of Enterprise Network

2011 ◽  
Vol 328-330 ◽  
pp. 970-973
Author(s):  
Yong Gui Shi ◽  
Jian Fen Yan
Keyword(s):  
Complex Adaptive Systems ◽  
Intelligent Agents ◽  
Adaptive Systems ◽  
Building Blocks ◽  
Enterprise Network ◽  
Complex Adaptive ◽  
Basic Characteristics ◽  
High Degree ◽  
Degree Of Coupling

Based on the analysis of complex adaptive systems theory and classification of enterprise network, the article proposes that the enterprise network is a kind of CAS. Although the enterprise network has a variety of forms, they all have the basic characteristics of CAS: Aggregation, Identification, Nonlinear, Stream, Diversity, Internal model and Building blocks. The article discusses the complex adaptive features of the enterprise network which includes has active adaptive, multi-hierarchy nature, open, non-linear (butterfly effect), synergy and learning together and other characteristics, the enterprise network is made of a number of agents who are relatively autonomous and intelligent, each node enterprise in the enterprise network can be regarded as independent intelligent agents, in general the agents operate independently or semi-autonomous based on their own goal and ability of decision-making, as part of the system, these agents and their behavior have a high degree of coupling or dependency, the integrated level of system will depend on the coordination of the dependence. So the article gives the behavior model of enterprise network agents.

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 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.

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.

scholarly journals Constructing a consensus on language evolution? Convergences and differences between biolinguistic and usage-based approaches

2019 ◽  
Author(s):  
Michael Pleyer ◽  
Stefan Hartmann
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Common Ground ◽  
Language Evolution ◽  
Biological Evolution ◽  
Evolution Of Language ◽  
Theoretical Approaches ◽  
Complex Adaptive ◽  
Recent Developments ◽  
Evo Devo

Two of the main theoretical approaches to the evolution of language are biolinguistics and usage-based approaches. Both are often conceptualized as belonging to seemingly irreconcilable ‘camps.’ Biolinguistic approaches assume that the ability to acquire language is based on a language-specific genetic foundation. Usage-based approaches, on the other hand, stress the importance of domain-general cognitive capacities, social cognition, and interaction. However, there have been a number of recent developments in both paradigms which suggest that biolinguistic and usage-based approaches are actually moving closing together. For example, theoretical advancements such as evo-devo and complex adaptive systems theory have gained traction in the language sciences, leading to changed conceptions of issues like the relative influence of “nature” and “nurture.” In this paper, we outline points of convergence between current minimalist biolinguistic and usage-based approaches regarding four contentious issues: a) modularity and domain-specificity, b) innateness and development, c) cultural and biological evolution, d) knowledge of language and its description. We show that across both paradigms, researchers have come to increasingly embrace more complex views of these issues. They also have come to appreciate the view that biological and cultural evolution are closely intertwined, which leads to an increased amount of common ground between minimalist biolinguistics and usage-based approaches.

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