Artificial Intelligence. IJCAI 2019 International Workshops
Macao, China, August 10–12, 2019, Revised Selected Best Papers
Article
The study aimed to compare reciprocal behavior during interaction with a virtual-player in a computer game between children with typical development (TD) and children with specific-learning-disabilities (SLD) ...
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Many papers in the intersection of theoretical and applied algorithms show that the simple, asymptotically less efficient algorithm, performs better than the bestcomplex theoretical algorithms on random data o...
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In this work we explore the opportunities presented by partitioning contestants in contest into disjoint groups, each competing in an independent contest, with its own prize. This, as opposed to most literatur...
Chapter and Conference Paper
This paper studies a novel approach for training people to perform complex classification tasks using decision trees. The main objective of this study is to identify the most effective subset of rules for inst...
Chapter and Conference Paper
Designing and implementing explainable systems is seen as the next step towards increasing user trust in, acceptance of and reliance on Artificial Intelligence (AI) systems. While explaining choices made by bl...
Chapter and Conference Paper
This paper studies the effect of user’s own task-related faults over her satisfaction with a fault-prone agent in a human-agent collaborative setting. Through a series of extensive experiments we find that use...
Article
The recent massive proliferation of affiliate marketing suggests a new e-commerce paradigm which involves sellers, affiliates and the platforms that connect them. In particular, the fact that prospective buyer...
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A principal needs to elicit the true value of an object she owns from an agent who has a unique ability to compute this information. The principal cannot verify the correctness of the information, so she must ...
Book and Conference Proceedings
Macao, China, August 10–12, 2019, Revised Selected Best Papers
Article
Intelligent agents and AI-based systems are becoming increasingly prevalent. They support people in different ways, such as providing users with advice, working with them to achieve goals or acting on users’ b...
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This paper studies the strategic behavior of platforms that provide agents easier access to the type of opportunities in which they are interested (e.g., eCommerce platforms, used cars bulletins and dating web...
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The plethora of comparison shop** agents (CSAs) in today’s markets enables buyers to query more than a single CSA when shop**, thus expanding the list of sellers whose prices they obtain. This potentially ...
Chapter and Conference Paper
In many auction settings we find a self-interested information broker, that can potentially disambiguate the uncertainty associated with the common value of the auctioned item (e.g., the true condition of an a...
Article
When two parties need to split some reward between them, negotiation theory can predict what offers the parties will make and how the reward will be split. When a single party needs to evaluate several alterna...
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We consider team-work settings where individual agents incur costs on behalf of the team. In such settings it is frequently the custom to reimburse agents for the costs they incur (at least in part) in order t...
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This paper studies to what extent agent development changes one’s own strategy. While this question has many general implications it is of special interest to the study of peer designed agents (PDAs), which ar...
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The paper focuses on mining patterns that are characterized by a fuzzy lagged relationship between the data objects forming them. Such a regulatory mechanism is quite common in real-life settings. It appears in a...
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In this paper we study distributed agent matching in environments characterized by uncertain signals, costly exploration, and the presence of an information broker. Each agent receives information about the po...
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This paper proposes the use of restructuring information about choices to improve the performance of computer agents on recurring sequentially dependent decisions. The intended situations of use for the restru...
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We consider settings were agents are faced with several possible opportunities and need to choose one. Each opportunity may offer a different utility to the agent, and determining this utility may consume reso...