However, most of the existing applications of deep RL use video images to train the decision making artificial agent but obtaining camera images only for an AUV control purpose could be costly in terms of energy consumption.
APS supports the data and information analyzing technique to facilitate the decision making such that the agent can enhance the negotiation and suppler evaluation efficiency by saving time and cost.
This paper experimentally investigates how the decision making quality of an agent's opponent impacts learning-by-doing (LBD) and learning-by-observing (LBO) in a 2-player strategic game.
The approach also copes better with explanatory variables of a spatial and local nature (proximate drivers) than policy and socioeconomic factors affecting deforestation agents decision making (ultimate drivers) [19],[25].
The approach also copes better with explanatory variables of a spatial and local nature (proximate drivers) than policy and socioeconomic factors affecting deforestation agents decision making (ultimate drivers) [ 19],[ 25].
The DA is a computer-based interactive tool structured following the Ottawa Decision Support Framework and integrating four decision-making models (the paternalistic model, the informed decision making model, the physician as an agent model and the shared decision making model).
This paper presents the modulation system of real-time emotional agents (RTEA) and shows how emotional appraisals, that have proven effectively in ethological systems, can influence the agent's decision making.
Instead of casting an astute eye on what could have been remarkable insights into the decision making process of a Secret Service agent, we are offered page after page after page of adolescent gossip by dozens of former Secret Service agents who seem only too eager to snicker behind the backs of their former charges.
To better organize the negotiation knowledge utilized by agents and facilitate agents' adaptive negotiation decision making ability, an ontology-based approach is proposed in this paper.
An approach, termed "GeoInsight" is proposed for characterizing decision making functions in a multi-agent system (MAS).
We discuss implications for the design of embodied agents and decision making systems that use emotion expression to enhance interaction between humans and computers.
