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On social laws for artificial agent societies: off-line design
Open accessAbstract
We are concerned with the utility of social laws in a computational environment, laws which guarantee the successful coexistence of multiple programs and programmers. In this paper we are interested in the off-line design of social laws, where we as designers must decide ahead of time on useful social laws. In the first part of this paper we suggest the use of social laws in the domain of mobile robots, and prove analytic results about the usefulness of this approach in that setting. In the second part of this paper we present a general model of social law in a computational system, and investigate some of its properties. This includes a definition of the basic computational problem involved with the design of multi-agent systems, and an investigation of the automatic synthesis of useful social laws in the framework of a model which refers explicitly to social laws.
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Cites
Real-Time Obstacle Avoidance for Manipulators and Mobile Robots
Khatib, O. (1986) · The International Journal of Robotics Research · doi:10.1177/027836498600500106 · Cited by 7,894
Cited by
Multiagent systems: algorithmic, game-theoretic, and logical foundations
(2009) · Choice Reviews Online · doi:10.5860/choice.46-5662 · Cited by 1,756
Self-citationA survey of multi-agent organizational paradigms
HORLING, B., & LESSER, V. (2004) · The Knowledge Engineering Review · doi:10.1017/s0269888905000317 · Cited by 709
Designing Collective Behavior in a Termite-Inspired Robot Construction Team
Werfel, J., Petersen, K., & Nagpal, R. (2014) · Science · doi:10.1126/science.1245842 · Cited by 599
SODA: Societies and Infrastructures in the Analysis and Design of Agent-Based Systems
Omicini, A. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-44564-1_12 · Cited by 256
Challenges and Research Directions in Agent-Oriented Software Engineering
Zambonelli, F., & Omicini, A. (2004) · Autonomous Agents and Multi-Agent Systems · doi:10.1023/b:agnt.0000038028.66672.1e · Cited by 253
Metadata
- Authors
- Shoham, Y., & Tennenholtz, M.
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 1995-02
- Volume
- 73
- Issue
- 1-2
- Pages
- 231-252
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W1986112535
- Cited by
- 463
- References
- 1
- FWCI
- 18.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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