A Quantitative Model of Capabilities in Multi-Agent Systems

Reasoning about capabilities in multi-agent systems is crucial for many applications. There are two aspects of reasoning about the capabilities of an agent to achieve its goals. One is the symbolic, logical reasoning, which is based on whether the agent can determine a plan that can be used to achieve a goal (i.e. “know-how”). Another is quantitative reasoning about levels of skill and whether a set of tasks can be achieved within a specified time and with quality constraints. Capabilities in this sense are determined by the limits of internal processing capacity. Both artificial agents and human agents can be subject to processing capacity limits, whether due to CPU speed, or cognitive limits on attention, memory, etc. This could depend not only on the unique skill levels of each individual and their cognitive abilities, but also on their ability to handle those task demands in parallel, given intrinsic limits on internal cognitive resource capacities. In past work, researchers h...

• Type: Conference
• Year: 2003
• Where: ICAI
• Authors: Linli He, Thomas R. Ioerger
• Keywords: ICAI 2003, ICAI 2007, Logical Reasoning, Processing Capacity, Reasoning