The goals and the beliefs of an agent are not independent of each other. In order for an agent to be autonomous an agent must control its beliefs as well as tasks/goals. The agent's beliefs about itself, others and the environment are based on its derived models of perceived and communicated information. The degree of an agent's belief autonomy is its degree of dependence on others to build its belief models. We propose source trustworthiness, coverage and cost as factors an agent should use to determine on which sources to rely. Trustworthiness represents how reliable other agents are. Coverage is a measure of an information source's contribution to an agent's information needs. Cost of getting information from a source is defined by the timeliness of information delivery from the source. Since a respective agent only knows about a limited amount of information sources which can communicate with the agent, it must also rely on other agents to share their models describing sources they know about. These factors along with the degree to which a respective agent shares its knowledge about its neighbors are represented in this paper and proposed as contributions to agent's decisions regarding its belief autonomy for respective goals.
|Title of host publication||Agents and Computational Autonomy|
|Subtitle of host publication||Potential, Risks, and Solutions|
|Editors||M Nickles, M Rovatsos, G Weiss|
|Place of Publication||Berlin, Germany|
|Number of pages||10|
|Publication status||Published - 2004|
|Name||Lecture Notes in Computer Science|
Barber, K. S., & Park, J. (2004). Agent belief autonomy in open multi-agent systems. In M. Nickles, M. Rovatsos, & G. Weiss (Eds.), Agents and Computational Autonomy: Potential, Risks, and Solutions (pp. 7-16). (Lecture Notes in Computer Science; Vol. 2969). Springer.