Complexity: A Guided Tour

By Melanie Mitchell. 2009

2,287 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computational Theory and Mathematics, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/dfefac11ac3446fb1cb3e70450037ba7cb12f910

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Citations in the corpus

Synchronous failure: the emerging causal architecture of global crisis (2015, background): “A complex systems ontology informs this framework (for a survey, see Mitchell 2009).”
Complexity in climate-change impacts: an analytical framework for effects mediated by plant disease (2011, background): “Mitchell (2009) gives a lively”
Creating complex habitats for restoration and reconciliation (2015, background): “Informational complexity is sometimes quantified as Shannon’s entropy, which determines the uncertainty in predicting an individual component that is taken at random from a set (Mitchell, 2009).”
Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems (2017, background): “Complex systems have been characterized as being a large network of components, many-to-many communication channels, and sophisticated information processing that makes prediction of system states difficult [5].”
The Emergent Network Structure of the Multilateral Environmental Agreement System (2013, background): “These systems are comparable in their structure and function to complex adaptive systems (Ostrom, 1999a), which have the capacity to adapt to external conditions by changing their rules as experience accumulates (Holland, 1995; Levin, 1998; Arthur, 1999; Miller and Page, 2007; Mitchell, 2009).”
Designing Collective Behavior in a Termite-Inspired Robot Construction Team (2014, background): “The hallmark of complex systems of independent agents ( 5 – 7 ) is unexpected collective behavior that emerges from their joint actions, not readily predictable from knowledge of agent rules.”
Research, part of a Special Feature on Resilience Through Multi-scalar Collaboration Surmountable Chasms: Networks and Social Innovation for Resilient Systems (2011, background): “The same power laws that keep networks scale-free also make them vulnerable— knock out a hub and the network may be disabled (Mitchell 2009).”
The Relationship of ‘Systems Thinking’ to Action Research (2010, background): “The ‘spiritual’ quality of systemic thinking, however, became easier to grasp in an everyday sense with the materialisation of a new form of systemic thinking called complexity theory (e.g., Cilliers 1998; Coveney and Highfield 1995; Mitchell 2009; Page 2010; Waldrop 1992).”
JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems (2014, background): “Complex systems science (Mitchell, 2009) is the study of large collections of entities (of some type), where the global system behavior is a non-trivial result of the local interactions of the individuals, e.”
The Emergence of Global Systemic Risk (2015, background): “CAS arise endogenously out of the interactions of components and have collective behaviors that cannot be reduced to those of their components (Holling 2001, Miller & Page 2007, Mitchell 2009).”
Special Thematic Section on "Societal Change" A Complex Systems Approach to the Study of Ideology: Cognitive-Affective Structures and the Dynamics of Belief Systems (2013, background): “36 contests, creatively shaping existing political language to suit their needs, such as the legitimation of political projects in front of external audiences (Edelman, 1977; Skinner, 1974; Tully, 1983), the mobilization of supporters (Tarrow, 2013), the comprehension of new political events and…”
Echo chambers and viral misinformation: Modeling fake news as complex contagion (2018, background): “Since social media logic is the result of complex cascades and emergent effects, they require the use of computational models to study and discern their often-surprising dynamics [32].”
A coevolutionary framework for analysing a transition to a sustainable low carbon economy (2011, background): “Other work applying complex systems thinking has highlighted the importance of interaction of economic agents through networks and how these interactions give rise to emergent properties at higher levels (Mitchell, 2009).”
Defining and operationalising L2 complexity (2012, background): “Despite its prominent position in contemporary science (Mitchell 2009), there is no commonly accepted definition of complexity.”
Limit order books (2010, background): “This makes an LOB an example of a complex system (Mitchell 2009).”