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a r t i c l e i n f o a b s t r a c t This paper presents an in-depth analysis and the key insights gained from the Second International Automated Negotiating Agents Competition (ANAC 2011). ANAC is an international competition that challenges researchers to develop successful automated negotiation agents for scenarios where there is no information about(More)
An important issue when deening a rule-based agent programming language is the design of interpreters for these programming languages. Since these languages are all based on some notion of rule, an interpreter must provide some means of selection from a set of such rules. We provide a concrete and intuitive ordering on rules on which this selection can be(More)
The efficiency of automated multi-issue negotiation depends on the availability and quality of knowledge about an opponent. We present a generic framework based on Bayesian learning to learn an opponent model, i.e. the issue preferences as well as the issue priorities of an opponent. The algorithm proposed is able to effectively learn opponent preferences(More)
Motivated by the challenges of bilateral negotiations between people and automated agents we organized the first automated negotiating agents competition (ANAC 2010). The purpose of the competition is to facilitate the research in the area bilateral multi-issue closed negotiation. The competition was based on the GENIUS environment, which is a General(More)
A long and lasting problem in agent research has been to close the gap between agent logics and agent programming frameworks. The main reason for this problem of establishing a link between agent logics and agent programming frameworks is identified and explained by the fact that agent programming frameworks have not incorporated the concept of a(More)
The design of automated negotiators has been the focus of abundant research in recent years. However, due to difficulties involved in creating generalized agents that can negotiate in several domains and against human counterparts, many automated negotiators are domain specific and their behavior cannot be generalized for other domains. Some of these(More)
Agent-based computing in Artiicial Intelligence has given rise to a number of diverse and competing proposals for agent programming languages. Agents, in the sense we are using it, are complex mental entities consisting of beliefs, goals, and intentions. For several reasons it has been diicult to evaluate and compare the diierent proposals for agent(More)
In every negotiation with a deadline, one of the negotiating parties has to accept an offer to avoid a break off. A break off is usually an undesirable outcome for both parties, therefore it is important that a negotiator employs a proficient mechanism to decide under which conditions to accept. When designing such conditions one is faced with the(More)