23 papers · ranked by Valyu relevance
Indita Dorina, Barbara Mullan, Mark Boyes, Thomas McAlpine + 1 more
'John Parkinson'] A behavior’s complexity may impact habit formation, with implications for habit-based public health and environmental intervention designs. However, there are varying conceptualizations of behavioral complexity, hindering the synthesis of findings. To develop a unified definition, the aim of this…
Alexander P. Demos, Roger Chaffin, Vivek Kant
Musicians sway expressively as they play in ways that seem clearly related to the music, but quantifying the relationship has been difficult. We suggest that a complex systems framework and its accompanying tools for analyzing non-linear dynamical systems can help identify the motor synergies involved. Synergies are…
Blair Saunders, Kimberly R. More
3.1### Measures and manipulation checks Descriptive statistics and reliability for all measures are presented in Table S1 ([https://osf.io/b7pvy]()). Scale measurements were reliable at each timepoint and for each of the four behavioral categories. Cronbach's alpha for the Automaticity Index ranged from 0.93 to 0.98…
Eldar Knar
In this work, a new concept called Vector Dissipation of Randomness (VDR) is developed and formalized. It describes the mechanism by which complex multicomponent systems transition from chaos to order through the filtering of random directions, accumulation of information in the environment, and self-organization of…
Gordon J. Berman, Daniel M. Choi, William Bialek, Joshua W. Shaevitz
Most animals possess the ability to actuate a vast diversity of movements, ostensibly constrained only by morphology and physics. In practice, however, a frequent assumption in behavioral science is that most of an animal’s activities can be described in terms of a small set of stereotyped motifs. Here we introduce a…
Alan V. Rincon, Bridget M. Waller, Julie Duboscq, Alexander Mielke + 3 more
The social complexity hypothesis for communicative complexity posits that animal societies with more complex social systems require more complex communication systems. Here, we test the social complexity hypothesis on three macaque species that vary in their degree of social tolerance and complexity. We coded facial…
Bradly Alicea
This paper will introduce a theory of emergent animal social complexity using various results from computational models and empirical results. These results will be organized into a vertical model of social complexity. This will support the perspective that social complexity is in essence an emergent phenomenon while…
Lillian M. Rigoli, Tamara Lorenz, Charles Coey, Rachel Kallen + 2 more
'Scott Jordan' 'Michael J. Richardson'] Human behaviour, along with any natural/biological behaviour, has varying degrees of intrinsic ‘noise’ or variability. Many studies have shown that the structure or patterning of this variability is sensitive to changes in task and constraint. Furthermore, two or more humans…
Keisuke Fujii, Tadao Isaka, Motoki Kouzaki, Yuji Yamamoto
Humans interact by changing their actions, perceiving other’s actions and executing solutions in conflicting situations. Using oscillator models, nonlinear dynamics have been considered for describing these complex human movements as an emergence of self-organisation. However, these frameworks cannot explain the…
Hiroki Sayama, Farnaz Zamani Esfahlani, Ali Jazayeri, J. Scott Turner
'J. Scott Turner'] Abstract—We propose a novel computational method to extract information about interactions among individuals with different behavioral states in a biological collective from ordinary video recordings. Assuming that individuals are acting as finite state machines, our method first detects discrete…
Helene Malyutina
Existing AI systems for modeling human behavior operate at the level of individuals or detect events after they occur. As a result, they systematically fail to capture the collective dynamics that determine whether a group remains stable or transitions into escalation or breakdown. We propose a different foundation: a…
Benjamin Voloh, Benjamin R. Eisenreich, David J-N. Maisson, R. Becket Ebitz + 3 more
Primatologists, psychologists and neuroscientists have long hypothesized that primate behavior is highly structured. However, fully delineating that structure has been impossible due to the difficulties of precision behavioral tracking. Here we analyzed a dataset consisting of continuous measures of the 3D position of…
Ewa Pisula, Wojciech Pisula
Autism spectrum is characterized by difficulties in social communication and interactions and limited, restricted patterns of behavior, interests, and activity. It is diagnosed and described on the basis of behavioral characteristics. Therefore, behavior research plays a critical role in better understanding the…
Jobst Landgrebe, Barry Smith
Since the noun phrase 'artificial intelligence' (AI) was coined, it has been debated whether humans are able to create intelligence using technology. We shed new light on this question from the point of view of themodynamics and mathematics. First, we define what it is to be an agent (device) that could be the bearer…
Irina Trofimova
Attempts to revise the existing classifications of psychiatric disorders (DSM and ICD) continue and highlight a crucial need for the identification of biomarkers underlying symptoms of psychopathology. The present review highlights the benefits of using a Functional Constructivism approach in the analysis of the…
Santiago Herce Castañon, Christopher R. Stephens
Predicting and understanding behaviour is a primary objective of many disciplines, especially human behaviour, as it is the cause of many of the world’s most pressing problems. Although it is a fundamental concept in multiple disciplines, there is no agreed operational definition of what it is. Neither is there a…
Héctor Zenil
One of the most important aims of the fields of robotics, artificial intelligence and artificial life is the design and construction of systems and machines as versatile and as reliable as living organisms at performing high level human-like tasks. But how are we to evaluate artificial systems if we are not certain how…
ALESSANDRO ALIPRANDI, Dario Alessi, Luca Morgan, Elisa Pelorosso + 1 more
Self-organization is a key pathway to achieving high levels of matter complexity. However, an energy-consuming active process, such as a dissipative regime, is essential for adaptation and evolution to occur. In this study, we transform the passive self-organization of a luminescent square planar Pt(II) complex into an…
Tamao Maeda, Cédric Sueur, Satoshi Hirata, Shinya Yamamoto
Behavioural synchrony among individuals is essential for group-living organisms to maintain their cohesiveness necessary to get information and against predation. It is still largely unknown how synchronization functions in a multilevel society, a nested assemblage of multiple social levels between many individuals.…
Yoshiharu Mukouyama, Kenya Tanaka, Shuji Nakanishi, Yoshihiro Nakato
The emergence of life on Earth has attracted intense attention but remains unclear. A key problem is that the question of how living organisms can exhibit self-organizing ability that leads to highly ordered structures and active free independent behavior remains unanswered. This work reveals, by computer simulation…
Authors not listed
Soft matter is characterized by its relatively strong response to external and internal influences. A soft piece of rubber or biological tissue can be easily deformed between our fingers using muscle force, whereas a steel rod does not show visible deformations detectable by eye. We use theoretical calculations and…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…