The effectiveness of peer-designed agents in agent-based simulations1

Chalamish, Michal; Sarne, David; Lin, Raz

doi:10.3233/mgs-120199

Cited by 8 publications

(4 citation statements)

References 42 publications

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“…Our test-bed can be used to study the effects of different mechanisms and policies on the evolution of corruption over time. It opens the door for designing computer agents (whether by researchers or students [3]) that play the game and attempt to reduce corruption by adopting different strategies, based on machine learning methods.…”

Section: Discussionmentioning

confidence: 99%

A New Paradigm for the Study of Corruption in Different Cultures

Gal

Rosenfeld

Kraus

et al. 2014

Social Computing, Behavioral-Cultural Modeling and Prediction

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Abstract. Corruption frequently occurs in many aspects of multi-party interaction between private agencies and government employees. Past works studying corruption in a lab context have explicitly included covert or illegal activities in participants' strategy space or have relied on surveys like the Corruption Perception Index (CPI). This paper studies corruption in ecologically realistic settings in which corruption is not suggested to the players a priori but evolves during repeated interaction. We ran studies involving hundreds of subjects in three countries: China, Israel, and the United States. Subjects interacted using a four-player board game in which three bidders compete to win contracts by submitting bids in repeated auctions, and a single auctioneer determines the winner of each auction. The winning bid was paid to an external "government" entity, and was not distributed among the players. The game logs were analyzed posthoc for cases in which the auctioneer was bribed to choose a bidder who did not submit the highest bid. We found that although China exhibited the highest corruption level of the three countries, there were surprisingly more cases of corruption in the U.S. than in Israel, despite the higher PCI in Israel as compared to the U.S. We also found that bribes in the U.S. were at times excessively high, resulting in bribing players not being able to complete their winning contracts. We were able to predict the occurrence of corruption in the game using machine learning. The significance of this work is in providing a novel paradigm for investigating covert activities in the lab without priming subjects, and it represents a first step in the design of intelligent agents for detecting and reducing corruption activities in such settings.

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Section: Discussionmentioning

confidence: 99%

A New Paradigm for the Study of Corruption in Different Cultures

Gal

Rosenfeld

Kraus

et al. 2014

Social Computing, Behavioral-Cultural Modeling and Prediction

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“…However, unfortunately, they did not compare the behavior of agents to that of humans either. Chalamish et al [37] tested the similarity between human strategies and those of autonomous agents. They concluded that human behavior is often similar to that of their own autonomous agent.…”

Section: Related Workmentioning

confidence: 99%

Autonomous agents and human cultures in the trust–revenge game

Azaria

Richardson

Rosenfeld

2015

Auton Agent Multi-Agent Syst

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Autonomous agents developed by experts are embedded with the capability to interact well with people from different cultures. When designing expert agents intended to interact with autonomous agents developed by Non Game Theory Agents (NGTE), it is beneficial to obtain insights on the behavior of these NGTE agents. Is the behavior of these NGTE agents similar to human behavior from different cultures? This is an important question as such a quality would allow an expert agent interacting with NGTE agents to model them using the same methods that are used to model humans from different cultures.To study this point, we evaluated NGTE agents behavior using a game called the Trust-Revenge game, which is known in social science for capturing different human tendencies. The Trust-Revenge game has a unique subgame-perfect equilibrium strategy profile, however, very rarely do people follow it. We compared the behavior of autonomous agents to the actions of several human demographic groups-one of which is similar to the designers of the autonomous agents. We claim that autonomous agents are similar to human players from various cultures. This enables the use of approaches, developed for handling cultural diversity among humans, to be applied for interaction with NGTE agents. This paper also analyzes additional aspects of autonomous agents behavior and whether composing autonomous agents affects human behavior.

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“…However, human behavior is diverse, and cannot be satisfactorily captured by a simple model. Humans tend to make mistakes, and they are affected by cognitive, social and cultural factors when making decisions (Bazerman and Neale 1992;Lax and Sebenius 1992;Ariely 2008;Elmalech and Sarne 2012;Chalamish, Sarne, and Lin 2012). Modeling people is a challenging problem (Elmalech, Sarne, and Agmon 2014;Mash, Lin, and Sarne 2014;Sarne and Grosz 2007).…”

Section: Modeling Patientsmentioning

confidence: 99%

Intelligent Agents for Rehabilitation and Care of Disabled and Chronic Patients

Kraus

2015

AAAI

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The number of people with disabilities is continuously increasing. Providing patients who have disabilities with the rehabilitation and care necessary to allow them good quality of life creates overwhelming demands for health and rehabilitation services. We suggest that advancements in intelligent agent technology provide new opportunities for improving the provided services. We will discuss the challenges of building an agent for the health care domain and present four capabilities that are required for an agent in the health care domain: planning, monitoring, intervention and encouragement. We will discuss the importance of personalizing all of them and the needto facilitate cooperation between the automated agent and the human care givers. We will review recent technology that can be used toward the development of agents that can have these capabilities and their promise in automating services such as physiotherapy, speech therapy and cognitive training.

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The effectiveness of peer-designed agents in agent-based simulations1

Cited by 8 publications

References 42 publications

A New Paradigm for the Study of Corruption in Different Cultures

A New Paradigm for the Study of Corruption in Different Cultures

Autonomous agents and human cultures in the trust–revenge game

Intelligent Agents for Rehabilitation and Care of Disabled and Chronic Patients

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