Predictability in human-agent cooperation

Ahrndt, Sebastian; Breitung, Benjamin; Fähndrich, Johannes; Albayrak, Şahin

doi:10.1145/2695664.2695702

Cited by 2 publications

(3 citation statements)

References 17 publications

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“…Studies on personality are supported by Personality Theories based on psychology, which explain the behavior of humans through two study approaches personality traits and types [19]. Both approaches seek to describe the personality of individuals through their strengths, weaknesses, preferences to act, and emotional states.…”

Section: Personalitymentioning

confidence: 99%

“…Table 18 also shows the total sum of each of the criteria (S b Rm p ), which is formally expressed in Equation (18). The total sum of each criterion, determined by S b Rm p , will be compared with ϕ * using Equation (19) as the first measure of evaluation of the satisfaction.…”

Section: The Evaluation Process Of the Degree Or Level Of Satisfactio...mentioning

confidence: 99%

“…, m}), the closer the DM's satisfaction will be. In Equation (19), the procedure described above is presented.…”

Section: S B Rm Pmentioning

confidence: 99%

See 2 more Smart Citations

Modeling Preferences through Personality and Satisfaction to Guide the Decision Making of a Virtual Agent

Castro-Rivera

Morales-Rodríguez

Rangel-Valdez

et al. 2022

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Satisfaction is relevant for decision makers (DM, Decision Makers). Satisfaction is the feeling produced in individuals by executing actions to satisfy their needs, for example, the payment of debts, jobs, or academic achievements, and the acquisition of goods or services. In the satisfaction literature, some theories model the satisfaction of individuals from job and customer approaches. However, considering personality elements to influence satisfaction and define preferences in strategies that optimize decision making provides the unique characteristics of a DM. These characteristics favor the scope of solutions closer to the satisfaction expectation. Satisfaction theories do not include specific elements of personality and preferences, so integrating these elements will offer more efficient decisions in computable models. In this work, a model of satisfaction with personality characteristics that influence the preferences of a DM is proposed. The proposed model is integrated into a preference-based optimizer that improves the decision-making process of a Virtual Decision Maker (VDM) in an optimization context. The optimization context addressed in this work is the product selection process within a food product shopping problem. An experimental design is proposed that compares two configurations that represent the cognitive part of an agent’s decision process to validate the operation of the proposed model in the context of optimization: (1) satisfaction, personality, and preferences, and (2) personality and preferences. The results show that considering satisfaction and personality in combination with preferences provides solutions closer to the interests of an individual, reflecting a more realistic behavior. Furthermore, this work demonstrates that it is possible to create a configurable model that allows adapting to different aptitudes and reflecting them in a computable model.

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Section: Personalitymentioning

confidence: 99%

Section: The Evaluation Process Of the Degree Or Level Of Satisfactio...mentioning

confidence: 99%

See 1 more Smart Citation

Modeling Preferences through Personality and Satisfaction to Guide the Decision Making of a Virtual Agent

Castro-Rivera

Morales-Rodríguez

Rangel-Valdez

et al. 2022

Axioms

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The IDEA of Us: An Identity-Aware Architecture for Autonomous Systems

Gavidia-Calderon,

Kordoni,

Bennaceur

et al. 2024

ACM Trans. Softw. Eng. Methodol.

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Autonomous systems, such as drones and rescue robots, are increasingly used during emergencies. They deliver services and provide situational awareness that facilitate emergency management and response. To do so, they need to interact and cooperate with humans in their environment. Human behaviour is uncertain and complex, so it can be difficult to reason about it formally. In this paper, we propose IDEA: an adaptive software architecture that enables cooperation between humans and autonomous systems, by leveraging in the social identity approach. This approach establishes that group membership drives human behaviour. Identity and group membership are crucial during emergencies, as they influence cooperation among survivors. IDEA systems infer the social identity of surrounding humans, thereby establishing their group membership. By reasoning about groups, we limit the number of cooperation strategies the system needs to explore. IDEA systems select a strategy from the equilibrium analysis of game-theoretic models, that represent interactions between group members and the IDEA system. We demonstrate our approach using a search-and-rescue scenario, in which an IDEA rescue robot optimises evacuation by collaborating with survivors. Using an empirically validated agent-based model, we show that the deployment of the IDEA system can reduce median evacuation time by \(13.6\% \) .

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Predictability in human-agent cooperation

Cited by 2 publications

References 17 publications

Modeling Preferences through Personality and Satisfaction to Guide the Decision Making of a Virtual Agent

Modeling Preferences through Personality and Satisfaction to Guide the Decision Making of a Virtual Agent

The IDEA of Us: An Identity-Aware Architecture for Autonomous Systems

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