Artificial Intelligence. IJCAI 2019 International Workshops
Macao, China, August 10–12, 2019, Revised Selected Best Papers
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Article
Efficiency and fairness in team search with self-interested agents
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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Article
Agent development as a strategy shaper
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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Article
Negotiation in exploration-based environment
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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Chapter and Conference Paper
Strategic Free Information Disclosure for a Vickrey Auction
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...
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Article
Enhancing comparison shop** agents through ordering and gradual information disclosure
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 ...
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Article
Selective opportunity disclosure at the service of strategic information platforms
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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Article
Summarizing agent strategies
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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Book and Conference Proceedings
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Article
Obtaining costly unverifiable valuations from a single agent
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 ...
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Article
Information Design in Affiliate Marketing
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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Chapter and Conference Paper
Explainability in Mechanism Design: Recent Advances and the Road Ahead
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...
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Chapter and Conference Paper
The Positive Effect of User Faults over Agent Perception in Collaborative Settings and Its Use in Agent Design
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...
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Chapter and Conference Paper
Optimizing Decision Trees for Enhanced Human Comprehension
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...
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Article
Open AccessContest partitioning in binary contests
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...
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Article
Open AccessOn the Practical Power of Automata in Pattern Matching
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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Article
Open AccessSocial Skills and Reciprocal Behavior with a Virtual Player Among Children With and Without SLD/ADHD
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) ...
