Maintenance of Social Commitments in Multiagent Systems

Authors: Pankaj Telang, Munindar P. Singh, Neil Yorke-Smith11369-11377

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Reproducibility Variable Result LLM Response
Research Type Theoretical We introduce and formalize a concept of a maintenance commitment, a kind of social commitment characterized by states whose truthhood an agent commits to maintain. By developing a rule-based operational semantics, we study the relationship between agents achievement and maintenance goals, achievement commitments, and maintenance commitments. We motivate a notion of coherence which captures alignment between an agents achievement and maintenance cognitive and social constructs, and prove that, under specified conditions, the goals and commitments of both rational agents individually and of a multiagent system are coherent.
Researcher Affiliation Collaboration 1 SAS Institute, Cary, NC 27513, USA 2 North Carolina State University, Raleigh, NC 27695, USA 3 Delft University of Technology, Delft, 2600GA, The Netherlands
Pseudocode No The paper describes rules (e.g., S-CREATE, A-CONSIDER) in a structured format with conditions and actions, but they are presented in prose and mathematical notation rather than as formal pseudocode blocks or algorithms.
Open Source Code No No explicit statement or link is provided for open-source code for the methodology described in the paper.
Open Datasets No The paper is theoretical and does not involve training models on datasets. The scenario presented in Section 7 is an illustration of the theory, not an empirical experiment with data.
Dataset Splits No The paper is theoretical and does not involve dataset splits for training, validation, or testing.
Hardware Specification No The paper is theoretical and does not describe empirical experiments that would require specific hardware specifications.
Software Dependencies No The paper is theoretical and does not specify software dependencies with version numbers for experimental setup.
Experiment Setup No The paper is theoretical and does not include empirical experiments with detailed setup configurations or hyperparameters.