MIgories: an abstract model for interaction
Date
Authors
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Authors
Research Projects
Organizational Units
Computer Science—the theory, representation, processing, communication and use of information—is fundamentally transforming every aspect of human endeavor. The Department of Computer Science at Iowa State University advances computational and information sciences through; 1. educational and research programs within and beyond the university; 2. active engagement to help define national and international research, and 3. educational agendas, and sustained commitment to graduating leaders for academia, industry and government.
History
The Computer Science Department was officially established in 1969, with Robert Stewart serving as the founding Department Chair. Faculty were composed of joint appointments with Mathematics, Statistics, and Electrical Engineering. In 1969, the building which now houses the Computer Science department, then simply called the Computer Science building, was completed. Later it was named Atanasoff Hall. Throughout the 1980s to present, the department expanded and developed its teaching and research agendas to cover many areas of computing.
Dates of Existence
1969-present
Related Units
- College of Liberal Arts and Sciences (parent college)
Journal Issue
Is Version Of
Versions
Series
Department
Abstract
This paper proposes a new abstract framework for modelling interactions among agents in multi-agent organizations. The proposed model -- the model of interaction categories, or MIgories exhibits compositionality of interactions as well as emergence of behavior that is not explicitly designed at the organizational level. The proposed framework is expressive enough to model some of the commonly observed interactions in both natural as well as artificial organizations. More importantly, it allows us to specify and analyze interactions in multi-agent organizations at a fairly high level of abstraction, independent of specific implementations.