Reliable access to electricity is still a challenge in many developing countries. Indeed, rural
areas in sub-Saharan Africa and developing countries such as India still encounter frequent …

Negotiation is a complex process. The decision making involved in several stages of
negotiation makes its automation complex. In this paper we present a lifecycle model of a …

In this textbook the author takes as inspiration recent breakthroughs in game playing to
explain how and why deep reinforcement learning works. In particular he shows why two …

Scheduling of resources and patients are crucial in outpatient clinics, particularly when the
patient demand is high and patient arrivals are random. Generally, outpatient clinic systems …

Human–computer negotiation has the potential to play an important role in today's highly
dynamic online environment, especially in business-to-consumer e-commerce transactions …

Amazing breakthroughs in reinforcement learning have taken place. Computers teach
themselves to play Chess and Go and beat world champions. There is talk about expanding …

We discuss an application of the INFINITE negotiation architecture for developing agents
that can negotiate with others while representing its user's preferences. We developed an …

Modeling socially interactive agents (SIAs) has become critical in an increasingly wide
range of applications, from large-scale social simulations to the design of embodied virtual …

To build agents that can engage users in more open-ended social contexts, research has
increasingly been focused on data-driven approaches to reduce the requirement of …

Autonomous agents are well established to assist customers in contract negotiations on
electronic markets. Recently, AI-based conversational agents provide more natural customer …