By using the Dynamic Agent Role Interplay System (DARIS), some computational components within the distributed interactions are computed and evaluated.
These findings suggest that interactivity augmented overall or systemic working memory resources and diminished the effect of mathematics anxiety, underscoring the importance of characterizing the properties of the system as it is configured by the dynamic agent-environment coupling.
Before formalising what is meant by dynamic agent composition, this section motivates this approach by introducing a simple example of an electric vehicle (EV) agent.
And to that end, it's not about disintermediation either, but creating more value by improving the dynamic between agents and their clients — and not just in a creepy way.
A systemic perspective on cognition seeks to describe cognitive products and processes of a system configured by the dynamic coupling of an agent and his or her physical environment (Vallée-Tourangeau, Abadie, & Vallée-Tourangeau, 2015).
This paper studies a design methodology of a distributed cooperative controller for target-enclosing operations by multiple dynamic agents.
Large scale situation management applications such as disaster recovery and network-centric battle management are characterized by distributed heterogeneous agent platforms with dynamic agent populations, highly variable network connectivity and bandwidth, and localized situation knowledge and event collection.
This approach, dynamic agent composition, is the key contribution of this paper.
Using dynamic agent composition, bringing the different assets, behaviours and data together will define a model.
Moreover, the transient and steady state response is solely determined by certain designer-specified performance functions and is fully decoupled by the agents' dynamic model, the control gain selection, the underlying graph topology as well as the initial conditions.
