Many environments in which people and computer agents interact involve deploying resources to accomplish tasks and satisfy goals. This paper investigates the way that the contextual setting in which decisions are made affects the behavior of people and the performance of computer agents that interact with people in such environments. It presents experiments that measured negotiation behavior in two types of contextual settings. One provided a task context that made explicit the relationship between goals, tasks and resources, The other provided a completely abstract context in which the payoffs for all decision choices were listed. Results show that people are more helpful, less selfish, and less competitive when making decisions in task co...
Contextualization is critical in every decision making process. Adequate responses to problems depen...
Decision-making is fundamental to organizational functioning. As much of the decision making, which ...
International audienceDecision makers face a very large number of heterogeneous contextual cues; som...
and computers. (Article begins on next page) The Harvard community has made this article openly avai...
There has been growing interest, across various domains, in computer agents that can decide on behal...
Automated negotiation between arti cial agents is essential to deploy Cognitive Computing and Intern...
International audienceThis paper reviews the interest of using context for participative simulation ...
AbstractComputer systems increasingly carry out tasks in mixed networks, that is in group settings i...
Recent advances in machine learning have led to the widespread adoption of ML models for decision su...
Real-world information is primarily sensory in nature, and understandably people attach value to the...
Context-based Reasoning (CxBR) and Contextual Graphs (CxGs) involve the modeling of human behavior i...
Real-world information is primarily sensory in nature, and understandably people attach value to the...
Collective dilemmas have attracted widespread interest in several social sciences and the humanities...
Collective dilemmas have attracted widespread interest in several social sciences and the humanities...
Past research suggests that situatedness , i.e. the context, as well as the social interaction that...
Contextualization is critical in every decision making process. Adequate responses to problems depen...
Decision-making is fundamental to organizational functioning. As much of the decision making, which ...
International audienceDecision makers face a very large number of heterogeneous contextual cues; som...
and computers. (Article begins on next page) The Harvard community has made this article openly avai...
There has been growing interest, across various domains, in computer agents that can decide on behal...
Automated negotiation between arti cial agents is essential to deploy Cognitive Computing and Intern...
International audienceThis paper reviews the interest of using context for participative simulation ...
AbstractComputer systems increasingly carry out tasks in mixed networks, that is in group settings i...
Recent advances in machine learning have led to the widespread adoption of ML models for decision su...
Real-world information is primarily sensory in nature, and understandably people attach value to the...
Context-based Reasoning (CxBR) and Contextual Graphs (CxGs) involve the modeling of human behavior i...
Real-world information is primarily sensory in nature, and understandably people attach value to the...
Collective dilemmas have attracted widespread interest in several social sciences and the humanities...
Collective dilemmas have attracted widespread interest in several social sciences and the humanities...
Past research suggests that situatedness , i.e. the context, as well as the social interaction that...
Contextualization is critical in every decision making process. Adequate responses to problems depen...
Decision-making is fundamental to organizational functioning. As much of the decision making, which ...
International audienceDecision makers face a very large number of heterogeneous contextual cues; som...