scholarly journals Ambiguous Self-Induced Disinformation (ASID) Attacks: Weaponizing a Cognitive Deficiency

2021 ◽  
Author(s):  
Matthew Canham ◽  
Stefan Sütterlin ◽  
Torvald F. Ask ◽  
Benjamin J. Knox ◽  
Lauren Glenister ◽  
...  
Keyword(s):  
Social Network ◽  
Human Cognition ◽  
Gray Zone ◽  
Projective Testing ◽  
Ambiguous Figures ◽  
Narrative Context ◽  
Ambiguous Stimuli ◽  
Cognitive Deficiency ◽  
Reduced Risk

Humans quickly and effortlessly impose narrative context onto ambiguous stimuli, as demonstrated through psychological projective testing and ambiguous figures. We suggest that this feature of human cognition may be weaponized as part of an information operation. Such Ambiguous Self-Induced Disinformation (ASID) attacks would employ the following elements: the introduction of a culturally consistent narrative, the presence of ambiguous stimuli, the motivation for hypervigilance, and a social network. ASID attacks represent a reduced-risk, low-investment on the part of the adversary with a potentially significant reward, making this a likely tactic of choice for information operators within the context of gray-zone conflicts.

Fuzzy Social Network Modeling for Influencing Consumer Behavior

2018 ◽  
pp. 230-277
Author(s):  
Ronald R. Yager ◽  
Rachel L. Yager
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Consumer Behavior ◽  
Network Modeling ◽  
Decision Makers ◽  
Human Cognition ◽  
Complex Structures ◽  
Structure And Dynamics ◽  
Social Network Modeling

Social networks have become an important component in most companies' bag of tools for managing and influencing consumer behavior. It is imperative for modern organizations to fully understand these social networks and have at their disposal an armada of tools to intelligently model and manipulate these complex structures in order to accomplish their goals. In order to most effectively and intelligently use social networks, decision makers and planners must be able to bring to bear their expertise, experience, and professional intuition on issues involving these networks. This requires an understanding, comprehension, and view of social networks that is compatible with their human cognition and perception. They must be able to understand the structure and dynamics of social networks in terms of human-focused concepts. In this chapter, the authors investigate and describe the use of the FISNA technology to help in the modeling of consumer behavior-related concepts in social networks.

Fuzzy Social Network Modeling for Influencing Consumer Behavior

2015 ◽  
pp. 258-294
Author(s):  
Ronald R. Yager ◽  
Rachel L. Yager
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Consumer Behavior ◽  
Network Modeling ◽  
Decision Makers ◽  
Human Cognition ◽  
Complex Structures ◽  
Structure And Dynamics ◽  
Social Network Modeling

Social networks have become an important component in most companies' bag of tools for managing and influencing consumer behavior. It is imperative for modern organizations to fully understand these social networks and have at their disposal an armada of tools to intelligently model and manipulate these complex structures in order to accomplish their goals. In order to most effectively and intelligently use social networks, decision makers and planners must be able to bring to bear their expertise, experience, and professional intuition on issues involving these networks. This requires an understanding, comprehension, and view of social networks that is compatible with their human cognition and perception. They must be able to understand the structure and dynamics of social networks in terms of human-focused concepts. In this chapter, the authors investigate and describe the use of the FISNA technology to help in the modeling of consumer behavior-related concepts in social networks.

scholarly journals Collective minds: social network topology shapes collective cognition

2021 ◽  
Vol 377 (1843) ◽  
Author(s):  
Ida Momennejad
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Communication Networks ◽  
Belief Propagation ◽  
Brain Regions ◽  
Human Cognition ◽  
Learning Approaches ◽  
Theoretical Approaches ◽  
Collective Cognition ◽  
Community Ties

Human cognition is not solitary, it is shaped by collective learning and memory. Unlike swarms or herds, human social networks have diverse topologies, serving diverse modes of collective cognition and behaviour. Here, we review research that combines network structure with psychological and neural experiments and modelling to understand how the topology of social networks shapes collective cognition. First, we review graph-theoretical approaches to behavioural experiments on collective memory, belief propagation and problem solving. These results show that different topologies of communication networks synchronize or integrate knowledge differently, serving diverse collective goals. Second, we discuss neuroimaging studies showing that human brains encode the topology of one's larger social network and show similar neural patterns to neural patterns of our friends and community ties (e.g. when watching movies). Third, we discuss cognitive similarities between learning social and non-social topologies, e.g. in spatial and associative learning, as well as common brain regions involved in processing social and non-social topologies. Finally, we discuss recent machine learning approaches to collective communication and cooperation in multi-agent artificial networks. Combining network science with cognitive, neural and computational approaches empowers investigating how social structures shape collective cognition, which can in turn help design goal-directed social network topologies. This article is part of a discussion meeting issue ‘The emergence of collective knowledge and cumulative culture in animals, humans and machines’.

Effects of Verbal Labeling on Visual Recall by Adult Aphasic Patients

1974 ◽  
Vol 38 (1) ◽  
pp. 255-262 ◽  
Author(s):  
Cynthia M. Shewan ◽  
Clinton W. Bennett
Keyword(s):  
Visual Stimuli ◽  
Verbal Label ◽  
Ambiguous Figures ◽  
Verbal Labels ◽  
Ambiguous Stimuli ◽  
Verbal Strategies

The performance of 30 adult aphasics and 30 normal Ss was compared on a task of visual recall for ambiguous figures. A verbal label was presented simultaneously with the figure in some conditions. Aphasics recalled the visual stimuli significantly less accurately than did the normals, but both groups demonstrated the same pattern of errors. When verbal labels accompanied the visual stimuli, aphasics and normals more frequently selected responses which corresponded most closely with the verbal name they heard during original exposure to the ambiguous stimuli. The data suggested that both groups used verbal strategies to perform the task but that the aphasics' strategies perhaps were less complex than those of their normal counterparts.

Language as a mental travel guide

2020 ◽  
Vol 43 ◽  
Author(s):  
Charles P. Davis ◽  
Gerry T. M. Altmann ◽  
Eiling Yee
Keyword(s):  
Cognitive Science ◽  
Human Cognition ◽  
Travel Guide

Abstract Gilead et al.'s approach to human cognition places abstraction and prediction at the heart of “mental travel” under a “representational diversity” perspective that embraces foundational concepts in cognitive science. But, it gives insufficient credit to the possibility that the process of abstraction produces a gradient, and underestimates the importance of a highly influential domain in predictive cognition: language, and related, the emergence of experientially based structure through time.

What is the purpose of cognition?

2020 ◽  
Vol 43 ◽  
Author(s):  
Aba Szollosi ◽  
Ben R. Newell
Keyword(s):  
Infinite Number ◽  
Human Cognition ◽  
The Way

Abstract The purpose of human cognition depends on the problem people try to solve. Defining the purpose is difficult, because people seem capable of representing problems in an infinite number of ways. The way in which the function of cognition develops needs to be central to our theories.

Dual systems for all: Higher-order, role-based relational reasoning as a uniquely derived feature of human cognition

2019 ◽  
Vol 42 ◽  
Author(s):  
Daniel J. Povinelli ◽  
Gabrielle C. Glorioso ◽  
Shannon L. Kuznar ◽  
Mateja Pavlic
Keyword(s):  
Temporal Reasoning ◽  
Higher Order ◽  
Important Case ◽  
Human Cognition ◽  
Relational Reasoning ◽  
Dual Systems ◽  
First Order ◽  
Reasoning System ◽  
Role Based

Abstract Hoerl and McCormack demonstrate that although animals possess a sophisticated temporal updating system, there is no evidence that they also possess a temporal reasoning system. This important case study is directly related to the broader claim that although animals are manifestly capable of first-order (perceptually-based) relational reasoning, they lack the capacity for higher-order, role-based relational reasoning. We argue this distinction applies to all domains of cognition.

Unusual Microstructure in Shock-Compacted Graphite

1970 ◽  
Vol 28 ◽  
pp. 474-475
Author(s):  
Lucien F. Trueb
Keyword(s):  
Mechanical Characteristic ◽  
Compression Wave ◽  
Gray Zone ◽  
Flyer Plate ◽  
Compacted Graphite ◽  
The Impact

Crushed and statically compressed Madagascar graphite that was explosively shocked at 425 kb by means of a planar flyer-plate is characterized by a black zone extending for 2 to 3 nun below the impact plane of the driver. Beyond this point, the material assumes the normal gray color of graphite. The thickness of the black zone is identical with the distance taken by the relaxation wave to overtake the compression wave.The main mechanical characteristic of the black material is its great hardness; steel scalpels and razor blades are readily blunted during attempts to cut it. An average microhardness value of 95-3 DPHN was obtained with a 10 kg load. This figure is a minimum because the indentations were usually cracked; 14.8 DPHN was measured in the gray zone.

The social network

2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  
Social Network ◽  
The Social

Abstract #1249: Novel Use of Physician Social Network Data to Map the Gap in the Endocrinology Workforce

2015 ◽  
Vol 21 ◽  
pp. 301
Author(s):  
Armand Krikorian ◽  
Lily Peng ◽  
Zubair Ilyas ◽  
Joumana Chaiban
Keyword(s):  
Social Network ◽  
Network Data ◽  
Social Network Data
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