Motivated Value Selection for Artificial Agents
نویسنده
چکیده
Coding values (or preferences) directly into an artificial agent is a very challenging task, while value selection (or valuelearning, or value-loading) allows agents to learn values from their programmers, other humans or their environments in an interactive way. However, there is a conflict between agents learning their future values and following their current values, which motivates agents to manipulate the value selection process. This paper establishes the conditions under which motivated value selection is an issue for some types of agents, and presents an example of an ‘indifferent’ agent that avoids it entirely. This poses and solves an issue which has not to the author’s knowledge been formally addressed in the literature.
منابع مشابه
Fuzzy C-Means Clustering Algorithm for Site Selection of Groundwater Artificial Recharge Areas (Case Study: Sefied Dasht Plain)
Artificial recharge can be an effective method to raise the groundwater table and to resolve the groundwater crisis in Sefid dasht plain. The most important step to successful accomplishment of artificial recharge is locating suitable areas for artificial recharge. Hence this research carried out with purpose of determining suitable areas for artificial recharge in Sefid dasht plain. Slope, sur...
متن کاملFuzzy C-Means Clustering Algorithm for Site Selection of Groundwater Artificial Recharge Areas (Case Study: Sefied Dasht Plain)
Artificial recharge can be an effective method to raise the groundwater table and to resolve the groundwater crisis in Sefid dasht plain. The most important step to successful accomplishment of artificial recharge is locating suitable areas for artificial recharge. Hence this research carried out with purpose of determining suitable areas for artificial recharge in Sefid dasht plain. Slope, sur...
متن کاملRunning Title: Motive Profiles for Artificial Agents
Computational models of motivation are tools that artificial agents can use to identify, prioritize, select and adapt the goals they will pursue autonomously. Previous research has focused on developing computational models of motivation that permit artificial agents to exhibit characteristics such as adaptive exploration, problem-finding behavior, competence-seeking behavior and creativity. Th...
متن کاملRelating Quantified Motivations for Organizationally Situated Agents
To scale agent technologies for widespread use in open systems, agents must have an understanding of the organizational context in which they operate. Our current focus is on the expansion of agent knowledge structures to support modeling of organizational information and on a corresponding expansion of agent control techniques to use the information. In this paper we focus on the issue of task...
متن کاملSite Selection for Groundwater Artificial Recharge in Silakhor Rangelands Using GIS Technique
Groundwater is among the most important resources of drinking water supply ofthe worldwide population. Use of recharge area is one of the methods for artificiallyrecharging groundwater. Selection of suitable sites for artificial recharge is very importantand must be carried out accurately. There are different types of land use, only rangelandsare appropriate for artificial recharge because of t...
متن کامل