Johnson, M.V., and Hayes-Roth, B. Integrating diverse reasoning methods in the BB1 blackboard control architecture. In Proceedings of the Conference on Theoretical Aspects of Reasoning about Knowledge , Morgan Kaufman, pp. 83-98, 1987.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....from the search control. This has been useful in AI planning, as discussed, e.g. in [Wel94, OP99] Related Work The meta reasoning and the design of strategies distinguishes our approach from other approaches for collaborating problem solving methods, e.g. from the blackboard system [HR85, JHR87] and from collaborating provers [DF99] The latter differs even more because the collaboration is by exchanging certain clauses and this amounts to a collaboration at the low level of a logic calculus rather than at a strategic level. Other work has investigated certain kinds of meta reasoning, ....

M.V. Johnson and B. Hayes-Roth. Integrating diverse reasoning methods in the BB1 blackboard control architecture. In K. Forbes and H. Skrohe, editors, Proceedings of the 6th National Conference on Artificial Intelligence, pages 30--35. Morgan Kaufmann, 1987.

.... and Sidner, 1988; Hayes Roth, 1985; 1992; Miller, Galanter, and Pribram, 1960; Pollack, 1990; 1992; Suchman, 1987] Several implemented systems actually use some form of plans that are not programs to control their cognitive or physical behavior [Chrisman and Simmons, 1991; Firby, 1992; Gat, 1992; Johnson and Hayes Roth, 1987; Newell, Shaw, and Simon, 1958; Tommelein, Hayes Roth, and Levitt, 1992] Different investigators working with the plans are not programs model share a view of the agent operating in a world of possibilities and using plans to choose among them. For example, the agent may commit to plans that ....

....If the agent has more than one plan, it might perform actions that match one plan while waiting for enabled actions that match the other. If the agent has goaldirected reasoning capabilities, it might create and follow another plan in order to enable behaviors that match its stymied plan [Johnson and Hayes Roth, 1987]. The main logical alternatives are obvious: the agent either waits until an exogenous event enables a planmatching behavior or it executes a non plan matching enabled behavior. Each of these default policies is appropriate in different circumstances. Our robot never plans tasks it cannot perform ....

Johnson, M.V., and Hayes-Roth, B. Integrating diverse reasoning methods in the BB1 blackboard control architecture. In Proceedings of the Conference on Theoretical Aspects of Reasoning about Knowledge , Morgan Kaufman, pp. 83-98, 1987.

....operations. Control operations are suggested by perceptual or cognitive events, rated and placed on the agenda, and scheduled for execution. Thus, they compete for execution with one another and with all other executable operations. Different control operations embody different reasoning methods [33]. Some operations generate control decisions bottom up, for example when a perceptual event triggers a decision to respond to the perceived situation. In Figure 2, Plans A and B and the top most decision of Plan C presumably were generated bottom up in response to perceived demands or ....

.... in response to unanticipated conditions [9, 20, 25, 31, 35] Other researchers introduced more knowledge intensive and computationally tractable methods for generating partial plans, including: instantiating goal oriented action schemas [19, 26] integrating top down and bottom up planning methods [24, 33], 34 transferring successful plans to new situations [11, 23] or successively applying constraints among potential actions [51] Interleaving planning and execution permits an agent to several real time requirements. However, their success is limited by unbounded computation times for ....

Johnson, M.V., and Hayes-Roth, B. Integrating diverse reasoning methods in the BB1 blackboard control architecture. Proceedings of the National Conference on Artificial Intelligence, 1987.

.... Pollack, 1988; Grosz and Sidner, 1988; Hayes Roth, 1985; 1992; Miller, Galanter, and Pribram, 1960; Pollack, 1990; 1992; Suchman, 1987] Several implemented systems actually use some form of plans that are not programs to control their behavior [Chrisman and Simmons, 1991; Firby, 1992; Gat, 1992; Johnson and Hayes Roth, 1987; Newell, Shaw, and Simon, 1958; Tommelein, Hayes Roth, and Levitt, 1992] Many of the different investigators working with the plans are not programs model share a view of an agent operating in a world of possibilities and using plans to constrain these choices. In most situations, the agent s ....

Johnson, M.V., and Hayes-Roth, B. Integrating diverse reasoning methods in the BB1 blackboard control architecture. In Proceedings of the Conference on Theoretical Aspects of Reasoning about Knowledge, Morgan Kaufman, pp. 83-98, 1987.

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M.V. Johnson and B. Hayes-Roth. Integrating diverse reasoning methods in the BB1 blackboard control architecture. Proceedings of the International Joint Conference on Artificial Intelligence , San Mateo, Ca: Morgan Kaufmann, 1987.

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