Active Inference in Multiagent Systems: Context-Driven Collaboration and Decentralized Purpose-Driven Team Adaptation

2019 ◽  
pp. 67-85 ◽  
Author(s):  
Georgiy Levchuk ◽  
Krishna Pattipati ◽  
Daniel Serfaty ◽  
Adam Fouse ◽  
Robert McCormack
Keyword(s):  
Multiagent Systems ◽  
Active Inference ◽  
Team Adaptation

Tinkering with cognitive gadgets: Cultural evolutionary psychology meets active inference

2019 ◽  
Vol 42 ◽  
Author(s):  
Paul Benjamin Badcock ◽  
Axel Constant ◽  
Maxwell James Désormeau Ramstead
Keyword(s):  
Evolutionary Psychology ◽  
Research Program ◽  
Active Inference ◽  
Innovative Research ◽  
Cognitive Faculties ◽  
Cultural Evolutionary ◽  
The Relationship

Abstract Cognitive Gadgets offers a new, convincing perspective on the origins of our distinctive cognitive faculties, coupled with a clear, innovative research program. Although we broadly endorse Heyes’ ideas, we raise some concerns about her characterisation of evolutionary psychology and the relationship between biology and culture, before discussing the potential fruits of examining cognitive gadgets through the lens of active inference.

Capturing the Four-Phase Team Adaptation Process With Behaviorally Anchored Rating Scales (BARS)

2020 ◽  
Vol 36 (2) ◽  
pp. 336-347
Author(s):  
Eleni Georganta ◽  
Felix C. Brodbeck
Keyword(s):  
Rating Scales ◽  
Empirical Support ◽  
Team Development ◽  
Adaptation Process ◽  
Adaptation Studies ◽  
Team Processes ◽  
Team Adaptation ◽  
The Common ◽  
Acceptable Reliability ◽  
Adaptation Phase

Abstract. As a response to the lack of quantitative and reliable measures of the team adaptation process, the aim of the present study was to develop and validate an instrument for assessing the four phases of the team adaptation process as described by Rosen and colleagues (2011) . Two trained raters and two subject matter expert groups contributed to the development of four behaviorally anchored rating scales (BARS) that span across the spectrum of team processes involved in each team adaptation phase. To validate the four BARS, two different trained raters assessed independently the team adaptation phases of 66 four-person teams. The validation study provided empirical support for the BARS’ psychometric adequacy. The BARS measures overcame the common middle anchor problem, showed sensitivity in differentiating between teams and between the four phases, showed evidence for acceptable reliability, construct, and criterion validity, and supported the theoretical team adaptation process assumptions. The study contributes to research and praxis by enabling the direct assessment of the overall team adaptation process, thereby facilitating our understanding of this complex phenomenon. This allows the identification of behavioral strengths and weaknesses for targeted team development and comprehensive team adaptation studies.

Co-evolution of Hetero Multiagent Systems using Genetic Network Programming.

2003 ◽  
Vol 123 (3) ◽  
pp. 544-551 ◽  
Author(s):  
Kotaro Hirasawa ◽  
Masafumi Okubo ◽  
Jinglu Hu ◽  
Junichi Murata ◽  
Yuko Matsuya
Keyword(s):  
Multiagent Systems ◽  
Genetic Network ◽  
Network Programming ◽  
Genetic Network Programming

Narrative as active inference

2020 ◽  
Author(s):  
Nabil Bouizegarene ◽  
maxwell ramstead ◽  
Axel Constant ◽  
Karl Friston ◽  
Laurence Kirmayer
Keyword(s):  
Well Being ◽  
Social Practices ◽  
Human Adaptation ◽  
Active Inference ◽  
Future Projection ◽  
Future Developments ◽  
The Social ◽  
Parsimonious Model ◽  
Living Organisms ◽  
Theory Research

The ubiquity and importance of narratives in human adaptation has been recognized by many scholars. Research has identified several functions of narratives that are conducive to individuals’ well-being and adaptation as well as to coordinated social practices and enculturation. In this paper, we characterize the social and cognitive functions of narratives in terms of the framework of active inference. Active inference depicts the fundamental tendency of living organisms to adapt by creating, updating, and maintaining inferences about their environment. We review the literature on the functions of narratives in identity, event segmentation, episodic memory, future projection, storytelling practices, and enculturation. We then re-cast these functions of narratives in terms of active inference, outlining a parsimonious model that can guide future developments in narrative theory, research, and clinical applications.

Leader and Team Adaptation: The Influence and Development of Key Attributes and Processes

2009 ◽  
Author(s):  
Stephen J. Zaccaro ◽  
Deanna Banks ◽  
Lee Kiechel-Koles ◽  
Cary Kemp ◽  
Paige Bader
Keyword(s):  
Team Adaptation

Activity, Agency, and Inner Speech Pathology

2018 ◽  
Author(s):  
Lauren Swiney
Keyword(s):  
Motor Control ◽  
Sensory Input ◽  
The Other ◽  
Predictive Processing ◽  
Inner Speech ◽  
Speech Pathology ◽  
Active Inference ◽  
Comparator Hypothesis

Over the last thirty years the comparator hypothesis has emerged as a prominent account of inner speech pathology. This chapter discusses a number of cognitive accounts broadly derived from this approach, highlighting the existence of two importantly distinct notions of inner speech in the literature; one as a prediction in the absence of sensory input, the other as an act with sensory consequences that are themselves predicted. Under earlier frameworks in which inner speech is described in the context of classic models of motor control, I argue that these two notions may be compatible, providing two routes to inner speech pathology. Under more recent accounts grounded in the architecture of Bayesian predictive processing, I argue that “active inference” approaches to action generation pose serious challenges to the plausibility of the latter notion of inner speech, while providing the former notion with rich explanatory possibilities for inner speech pathology.

Consciousness

2018 ◽  
Author(s):  
Anil K. Seth
Keyword(s):  
Conscious Experience ◽  
Real Problem ◽  
Active Inference ◽  
Biological Mechanisms ◽  
Specific Content ◽  
Brain Responses ◽  
Biomimetic Approach ◽  
Multiple Levels ◽  
In Virtue Of ◽  
The Brain

Consciousness is perhaps the most familiar aspect of our existence, yet we still do not know its biological basis. This chapter outlines a biomimetic approach to consciousness science, identifying three principles linking properties of conscious experience to potential biological mechanisms. First, conscious experiences generate large quantities of information in virtue of being simultaneously integrated and differentiated. Second, the brain continuously generates predictions about the world and self, which account for the specific content of conscious scenes. Third, the conscious self depends on active inference of self-related signals at multiple levels. Research following these principles helps move from establishing correlations between brain responses and consciousness towards explanations which account for phenomenological properties—addressing what can be called the “real problem” of consciousness. The picture that emerges is one in which consciousness, mind, and life, are tightly bound together—with implications for any possible future “conscious machines.”

scholarly journals Partial Component Consensus of Discrete-Time Multiagent Systems

2019 ◽  
Vol 2019 ◽  
pp. 1-5
Author(s):  
Wenjun Hu ◽  
Gang Zhang ◽  
Zhongjun Ma ◽  
Binbin Wu
Keyword(s):  
Multiagent Systems ◽  
Discrete Time ◽  
Matrix Theory ◽  
Pinning Control ◽  
Directed Network ◽  
Strong Function ◽  
Partial Stability ◽  
Partial Component ◽  
The Matrix ◽  
Error System

The multiagent system has the advantages of simple structure, strong function, and cost saving, which has received wide attention from different fields. Consensus is the most basic problem in multiagent systems. In this paper, firstly, the problem of partial component consensus in the first-order linear discrete-time multiagent systems with the directed network topology is discussed. Via designing an appropriate pinning control protocol, the corresponding error system is analyzed by using the matrix theory and the partial stability theory. Secondly, a sufficient condition is given to realize partial component consensus in multiagent systems. Finally, the numerical simulations are given to illustrate the theoretical results.

Energy-Constraint Formation for Multiagent Systems With Switching Interaction Topologies

2020 ◽  
Vol 67 (7) ◽  
pp. 2442-2454 ◽  
Author(s):  
Jianxiang Xi ◽  
Le Wang ◽  
Jianfei Zheng ◽  
Xiaojun Yang
Keyword(s):  
Multiagent Systems ◽  
Energy Constraint
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