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.
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].
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.
Based on Petri net models, we study the information needed for agents to make cooperative decisions, mechanism to make agents cooperate, and how to enhance the performance in the system level by taking advantage of the agents' cooperation capabilities.
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.
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).
We discuss implications for the design of embodied agents and decision making systems that use emotion expression to enhance interaction between humans and computers.
An approach, termed "GeoInsight" is proposed for characterizing decision making functions in a multi-agent system (MAS).
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.
