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Developing Collaborative Rules for Autonomous Software Agents in Scale-Effective Organizations

This paper outlines the development of collaborative rules for autonomous software agents tasked with solving off-line problems within scale-effective organizations. It extends these rules to on-line problems while exploring the theoretical underpinnings of software agents, including their problem-solving, social management, and learning skills. By defining an open, scale-effective organization structure—composed of agents, network computers, and prescriptive rules—the study examines how these organizations can optimize solution quality and speed in collaborative environments. The paper also investigates the concept of asynchronous teams and their roles in enhancing collaboration and performance.

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Developing Collaborative Rules for Autonomous Software Agents in Scale-Effective Organizations

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  1. Collaboration rules for autonomous software agents Sarosh N. Talukdar

  2. Goal of the paper • Develop rules for off-line problems in a scale-effective organization • Extension of the rules to online problem • Paper is theoretical

  3. Terminology & Problem Formulation • Software agent : with * Problem solving skills * social or self management skills * learning skills • An agent’s environment • An off-line problem : with optimization obj.; Max (Solution Quality, Solution Speed) • Collaborations : productive or destructive

  4. Terminology & Problem Formulation • An organization : set of triple, OG = (A, N, P) where OG = organization, A = set of agents, N = Network computers , P = Prescriptions/Rules * 2 types : Hierarchic or Flat • An open organization: Agents/Computers can be added or removed easily • A scale effective organization: performance improve with addition of agents/computers

  5. Terminology & Problem Formulation • Problem : • Given : * an instance of an off-line problem and * a set of software agents distributed over a computer network • Design : an open, scale-effective organization for solving the off-line problem

  6. My concern about subspace assumption • Replacement of the space of all organizations by a smaller subspace with a much higher concentration of open and scale effective organizations. • The subspace contains only a certain type of flat organization called asynchronous team. • These teams are always open and are often scale effective • Does this assumption exists and if so does it always hold ?

  7. Subspace asynchronous team • Defined using constructive grammar, CG(like a structure for the team) • Important components of the CG : * set of primitives(better features of existing organizations) * set of rules for composing organization from primitives

  8. Definitions and Model • There are a total of 17 definitions to really have a good grasps of the grammar construction. There a few references to graphs and elementary probability • Yet to digest the Theorems and proofs

  9. Conclusion • The purpose of the grammar is to provide a means for constructing all asynchronous teams that might be used in solving a given instance of the off-line problem. • That is, the grammar constructively defines the space that must be searched if an asynchronous team that is good at solving the given problem is to be found.

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