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Updated: Jul 28, 2025

11:01
SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
Published on: November 24, 2015
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How could we make a social robot? A virtual bargaining approach.
1Behavioural Science Group, Warwick Business School, University of Warwick, Scarman Road, Coventry CV4 7AL, UK.
Summary
Artificial agents need to understand implicit social contracts for human-like interactions. This involves simulating virtual bargaining to navigate unspoken rules in communication and collaboration.
Area of Science:
- Cognitive Science
- Artificial Intelligence
- Social Psychology
Background:
- Human interaction relies on implicit agreements, or 'social contracts'.
- These contracts govern roles, actions, and communication conventions.
- Explicit negotiation of these rules is impractical due to speed and complexity.
Purpose of the Study:
- To explore requirements for artificial agents to achieve human-like interaction.
- To propose that understanding and simulating implicit social contracts is key.
- To investigate the role of virtual bargaining in forming these agreements.
Main Methods:
- Drawing on the theory of virtual bargaining.
- Outlining how implicit social contracts can be formed through mental simulation.
- Identifying theoretical and computational challenges.
Main Results:
- Human-like AI interaction necessitates capturing the continuous renegotiation of implicit social contracts.
- Virtual bargaining offers a framework for understanding the formation of these agreements.
- Significant theoretical and computational hurdles exist in simulating this process.
Conclusions:
- Meeting the challenges of simulating implicit social contracts is crucial for developing collaborative AI.
- AI systems need to move beyond special-purpose tools to become true collaborators.
- This research contributes to the field of Cognitive Artificial Intelligence.
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