scholarly journals The role of local interactions in behavioral contrast

1974 ◽  
Vol 4 (6) ◽  
pp. 543-545 ◽  
Author(s):  
Ben A. Williams
Keyword(s):  
Behavioral Contrast ◽  
Local Interactions

scholarly journals Theory of branching morphogenesis by local interactions and global guidance

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Mehmet Can Uçar ◽  
Dmitrii Kamenev ◽  
Kazunori Sunadome ◽  
Dominik Fachet ◽  
Francois Lallemend ◽  
...  
Keyword(s):  
Scaling Law ◽  
Domain Size ◽  
Branching Morphogenesis ◽  
Tissue Growth ◽  
Regulatory Mechanisms ◽  
Local Interactions ◽  
Self Organized ◽  
Global Guidance ◽  
Different Types

AbstractBranching morphogenesis governs the formation of many organs such as lung, kidney, and the neurovascular system. Many studies have explored system-specific molecular and cellular regulatory mechanisms, as well as self-organizing rules underlying branching morphogenesis. However, in addition to local cues, branched tissue growth can also be influenced by global guidance. Here, we develop a theoretical framework for a stochastic self-organized branching process in the presence of external cues. Combining analytical theory with numerical simulations, we predict differential signatures of global vs. local regulatory mechanisms on the branching pattern, such as angle distributions, domain size, and space-filling efficiency. We find that branch alignment follows a generic scaling law determined by the strength of global guidance, while local interactions influence the tissue density but not its overall territory. Finally, using zebrafish innervation as a model system, we test these key features of the model experimentally. Our work thus provides quantitative predictions to disentangle the role of different types of cues in shaping branched structures across scales.

The Role of Belief in the Emergence of Social Conventions in Artificial Social System

2010 ◽  
Vol 159 ◽  
pp. 210-215
Author(s):  
Zheng You Xia ◽  
Chen Ling Gu
Keyword(s):  
Social System ◽  
Autonomous Agents ◽  
Multi Agent Systems ◽  
Local Interactions ◽  
Social Conventions ◽  
Agent Systems ◽  
Multi Agent ◽  
Global Agreement ◽  
Available Information

The emergence of social conventions in multi-agent systems has been analyzed mainly by considering a group of homogeneous autonomous agents that can reach a global agreement using locally available information. We use novel viewpoint to consider that the process through which agents coordinate their behaviors to reduce conflict is also the process agents use to evaluate trust relations with their neighbors during local interactions. In this paper, we propose using the belief update rule called Instances of Satisfying and Dissatisfying (ISD) to study the evolution of agents' beliefs during local interactions. We also define an action selection rule called “highest cumulative belief” (HCB) to coordinate their behavior to reduce conflicts among agents in MAS (multi-agent systems). We find that the HCB can cause a group of agents to achieve the emergence of social conventions. Furthermore, we discover that if a group of agents can achieve the emergence of social conventions through ISD and HCB rules in an artificial social system, after a number of iterations this group of agents can enter the harmony state wherein each agent fully believes its neighbors.

Early Closure of a Long Loop in the Refolding of Adenylate Kinase: A Possible Key Role of Non-Local Interactions in the Initial Folding Steps

2009 ◽  
Vol 385 (4) ◽  
pp. 1230-1242 ◽  
Author(s):  
Tomer Orevi ◽  
Eldad Ben Ishay ◽  
Menachem Pirchi ◽  
Maik H. Jacob ◽  
Dan Amir ◽  
...  
Keyword(s):  
Adenylate Kinase ◽  
Local Interactions ◽  
Early Closure ◽  
Non Local ◽  
Kinase A

scholarly journals Swarming, swirling and stasis in sequestered bristle-bots

2013 ◽  
Vol 469 (2151) ◽  
pp. 20120637 ◽  
Author(s):  
L. Giomi ◽  
N. Hawley-Weld ◽  
L. Mahadevan
Keyword(s):  
Cell Phone ◽  
Autonomous Agents ◽  
Collective Motion ◽  
Relative Magnitude ◽  
Single Parameter ◽  
Local Interactions ◽  
Substrate Topography ◽  
Space And Time ◽  
Behavioural Repertoire

The collective ability of organisms to move coherently in space and time is ubiquitous in any group of autonomous agents that can move and sense each other and the environment. Here, we investigate the origin of collective motion and its loss using macroscopic self-propelled bristle-bots, simple automata made from a toothbrush and powered by an onboard cell phone vibrator-motor, that can sense each other through shape-dependent local interactions, and can also sense the environment non-locally via the effects of confinement and substrate topography. We show that when bristle-bots are confined to a limited arena with a soft boundary, increasing the density drives a transition from a disordered and uncoordinated motion to organized collective motion either as a swirling cluster or a collective dynamical stasis. This transition is regulated by a single parameter, the relative magnitude of spinning and walking in a single automaton. We explain this using quantitative experiments and simulations that emphasize the role of the agent shape, environment and confinement via boundaries. Our study shows how the behavioural repertoire of these physically interacting automatons controlled by one parameter translates into the mechanical intelligence of swarms.

scholarly journals Theory of branching morphogenesis by local interactions and global guidance

2021 ◽  
Author(s):  
Mehmet Can Uçar ◽  
Dmitrii Kamenev ◽  
Kazunori Sunadome ◽  
Dominik Fachet ◽  
François Lallemend ◽  
...  
Keyword(s):  
Scaling Law ◽  
Domain Size ◽  
Branching Morphogenesis ◽  
Tissue Growth ◽  
Regulatory Mechanisms ◽  
Local Interactions ◽  
Self Organized ◽  
Global Guidance ◽  
Different Types

Branching morphogenesis governs the formation of many organs such as lung, kidney, and the neurovascular system. Many studies have explored system-specific molecular and cellular regulatory mechanisms, as well as self-organizing rules underlying branching morphogenesis. However, in addition to local cues, branched tissue growth can also be influenced by global guidance. Here, we develop a theoretical framework for a stochastic self-organized branching process in the presence of external cues. Combining analytical theory with numerical simulations, we predict differential signatures of global vs. local regulatory mechanisms on the branching pattern, such as angle distributions, domain size, and space-filling efficiency. We find that branch alignment follows a generic scaling law determined by the strength of global guidance, while local interactions influence the tissue density but not its overall territory. Finally, using zebrafish innervation as a model system, we test these key features of the model experimentally. Our work thus provides quantitative predictions to disentangle the role of different types of cues in shaping branched structures across scales.

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