The key challenge in multiagent learning is learning a best response to the behaviour of
other agents, which may be non-stationary: if the other agents adapt their strategy as well …

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 …

Prosumer companies exchanging utility surpluses in Eco-Industrial Parks (EIPs) is a
promising alternative for industrial symbiosis to lower investment risks, take advantage of …

Demander-dominated market scenarios are becoming increasingly common owing to the
emergence of alternative service providers and competitive market environment. However …

We present a novel negotiation model that allows an agent to learn how to negotiate during
concurrent bilateral negotiations in unknown and dynamic e-markets. The agent uses an …

The last two decades have seen a growing interest in automated agents that are able to
negotiate on behalf of human negotiators in a wide variety of negotiation domains. One key …

Bilateral transactions hedge both sides against uncertain price and volume risks of day-
ahead auction and make up major portions of trading in electricity markets. Peer-to-peer …

As online services may keep evolving, service composition should maintain certain
adaptivity especially for a dynamic composition environment. Meanwhile, the large number …

Agents with emotional intelligence can enhance negotiation outcomes by improving
interaction and better understanding of human opponents in human–machine negotiation …

With the rapid growth of social media, users, especially adolescents, are spending
significant amount of time on various social networking sites to connect with others, to share …