M. Georgeff and A. L. Lansky, "Reactive reasoning and planning," in Proceedings of the sixth National Conference on Artificial Intelligence, Seattle, WA, 1987, pp. 677--682. Home/Search Document Not in Database Summary Related Articles Check |
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Reaction-First Search - Drummond, Swanson, Bresina, Levinson (1993) (28 citations) (Correct)
....are currently employed by rfs. There are other systems that require a programmer to manually code a prior reactive competence in order to avoid or reduce the need for automatic planning. In this regard there is work by Beetz and McDermott [1992] Brooks [1986] Firby [1987] Kaelbling [1988] and Georgeff and Lansky [1987]. Of these, only the system of Beetz and McDermott includes a planner. This planner, described in detail by McDermott [1992] uses a number of heuristic transformations that improve a given reactive program s goal achieving properties. We feel that it should be possible to use rfs in this ....
Georgeff, M., and Lansky, A. Reactive Reasoning and Planning. Proc. of AAAI87, pp. 677--682, Seattle, WA, 1987.
On Behavior of Interacting Agents - Dekhtyar, Dikovsky, Valiev (2002) (Correct)
....a transitions leading to a state with the same property) In both formulas, the atomic state conditions are propositional, but under some workable restrictions (e.g. structures not used) one can (and we will do) use first order state conditions. Among several MA system architectures (e.g. PRS [25], Touring Machine [19] AIS [26] INTERRUP [30] see the review [45] we have chosen the architecture IMPACT described in detail in the book [42] The IMPACT architecture is one of the most elaborated MA system architectures. Its IA design model includes adaptive action bases, logic programs ....
Georgeff, M., Lansky, A., Reactive Reasoning and Planning. In: Proc. of the Conf. of the American Assoc. of Artificial Intelligence, 1987, Seattle, WA, pp. 677-682.
Towards a Logic of Rational Agency - van der Hoek, Wooldridge (2003) (5 citations) (Correct)
....intention based model of manner described, seems attractive. times. Originally, it was realized in Architecture [9] RMA was intended as a more or less direct realization of Bratman s theory of practical reasoning. How ever, the best known implementation is the Procedural Reasoning System (pRs) [25] and its many descendants [21, 60, 18, 37] In the pRs, an agent has data structures that explicitly correspond to beliefs, desires, and intentions. A PRS agent s beliefs are directly represented in the form of PROLoG like facts [13, p.3] Desires and intentions in PaS are realized through the use ....
M. P. Georgeff and A. L. Lansky. Reactive reasoning and planning. In Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-$7), pages 677 682, Seattle, WA, 1987.
The Behavior-Oriented Design of Modular Agent Intelligence - Bryson (Correct)
....to representations that are easily combined [e.g. 1, 24] but this in turn limits the complexity of the agent that can be created by limiting its most powerful building blocks. 2. 2 Reactive Plans and Three Layer Architectures At roughly the same time as BBAI was emerging, so were reactive plans [16, 20]. Reactive plans are powerful plan representations that provide for robust execution. A single plan will work under many different contingencies given a sufficiently amenable context. An agent can store a number of such plans in a library, then use context based preconditions to select one plan ....
Georgeff, M. P. and Lansky, A. L. (1987). Reactive reasoning and planning. In Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-87), pages 677--682, Seattle, WA.
The Behavior-Oriented Design of Modular Agent Intelligence - Bryson (Correct)
....to representations that are easily combined [e.g. 1, 24] but this in turn limits the complexity of the agent that can be created by limiting its most powerful building blocks. 2. 2 Reactive Plans and Three Layer Architectures At roughly the same time as BBAI was emerging, so were reactive plans [16, 20]. Reactive plans are powerful plan representations that provide for robust execution. A single plan will work under many different contingencies given a sufficiently amenable context. An agent can store a number of such plans in a library, then use context based preconditions to select one plan ....
Georgeff, M. P. and Lansky, A. L. (1987). Reactive reasoning and planning. In Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-87), pages 677--682, Seattle, WA.
Concept of a Hybrid Architecture for Care-O-bot - Hans, Baum (2001) (Correct)
....to compose the right domain from the database is necessary. 2. 4 Execution Module For executing the generated plan we use JAM Agents [11] This software package is a BDI theoretic (BelieveDesire Intention) agent architecture based on the Procedural Reasoning System (PRS) of SRI International [4]. After specifying beliefs (facts known to the agent) desires (goals that the agent is to achieve) and capabilities (plans and primitive actions) intentions are determined dynamically by the agent at runtime, based on known facts, current goals and available plans. JAM supports both top down, ....
Georgeff, M. P.; Lansky, A.: "Reactive Reasoning and Planning". In Proceedings of AAAI-87, pp. 677682, 1987.
Rational Action - Lecture 4 - The BDI Model - Wooldridge, Parsons Self-citation (Georgeff Lansky) (Correct)
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Georgeff, M. P. and Lansky, A. L. (1987). Reactive reasoning and planning. In Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-87), pages 677--682, Seattle,WA.
Modeling and Simulating Human Teamwork Behaviors Using.. - Fan, Yen (2004) (Correct)
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M. Georgeff and A. L. Lansky, "Reactive reasoning and planning," in Proceedings of the sixth National Conference on Artificial Intelligence, Seattle, WA, 1987, pp. 677--682.
PRACTITIONIST: implementing PRACTIcal reasONIng sySTems - Morreale, Bonura.. (2005) (Correct)
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M. P. Georgeff and A. L. Lansky, "Reactive reasoning and planning," in Proc. of AAAI-87, Seattle, WA, 1987, pp. 677--682.
Languages for Programming BDI-style Agents: an Overview - Mascardi, Demergasso, Ancona (2005) (Correct)
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M. P. Georgeff and A. L. Lansky, "Reactive reasoning and planning," in Proc. of AAAI'87, 1987, pp. 677--682.
PRACTITIONIST: implementing PRACTIcal reasONIng sySTems - Morreale, Bonura.. (2005) (Correct)
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M. P. Georgeff and A. L. Lansky, "Reactive reasoning and planning," in Proc. of AAAI-87, Seattle, WA, 1987, pp. 677--682.
Model-Free Execution Monitoring by Learning from Simulation - Pettersson, Karlsson.. (2005) (Correct)
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M.P. Georgeff and A.L. Lansky. Reactive reasoning and planning. In Proceedings of the National Conference on Artificial Intelligence (AAAI), pages 677--682, Seattle, WA, USA, 1987.
Cooperative Plan Selection Through Trust - Nathan Griffiths And (1999) (4 citations) (Correct)
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M. P. Georgeff and A. L. Lansky. Reactive reasoning and planning. In Proceedings of the Sixth National Conference on Artificial Intelligence, pages 677--682, 1987.
Approximate and Compensate: A method for risk-sensitive.. - David Parkes Computer (Correct)
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Georgeff, Michael P. and Lansky, Amy L. 1987. Reactive reasoning and planning. In Proceedings AAAI-87.
Specifying Multirobot Coordination in ICPGolog - From.. - Dylla, Ferrein.. (2003) (Correct)
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M. P. Georgeff and A. L. Lansky. Reactive reasoning and planning. In The Proceedings of AAAI-87, pages 677--682, Seattle, 1987.
Specifying Multirobot Coordination in ICPGolog - From.. - Dylla, Ferrein.. (2003) (Correct)
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M. P. Georgeff and A. L. Lansky. Reactive reasoning and planning. In The Proceedings of AAAI-87, pages 677--682, Seattle, 1987.
Specifying Multirobot Coordination in ICPGolog - From.. - Dylla, Ferrein.. (2003) (Correct)
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M. P. Georgeff and A. L. Lansky. Reactive reasoning and planning. In The Proceedings of AAAI-87, pages 677--682, Seattle, 1987.
Reacting, Planning, and Learning in an - Autonomous Agent Scott (Correct)
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Georgeff, M., and Lansky, A., "Reactive Reasoning and Planning," Proc. of AAAI-87, pp. 677-682, San Francisco, CA: Morgan Kaufmann, 1987.
What is a Normative Goal? Towards Goal-based Normative.. - Dastani, van der Torre (Correct)
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M. Georgeff and A. Lansky. Reactive reasoning and planning. In Proceedings of the Sixth National Conference on Artificial Intelligence, pages 677--682, 1987.
Real-Time Search for Autonomous Agents and Multiagent Systems - Ishida (1998) (3 citations) (Correct)
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M. P. Georgeff and A. L. Lansky, "Reactive Reasoning and Planning," AAAI-87, pp. 677#682, 1987.
Symbolic Learning for Adaptive Agents - Joshua Cole The (2003) (1 citation) (Correct)
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M. Georgeff and A. Lansky. Reactive reasoning and planning. In Proceedings of the Conf. of the American Assoc. of Artificial Intelligence, pages 677--682, 1987.
DYNORAII: A Real-Time Planning Algorithm - Hamidzadeh, Shekhar (1992) (Correct)
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M. P. Georgeff and A. L. Lansky, Reactive Reasoning and Planning, Proceedings of AAAI-87, pp. 677-682 (July 1987).
Multi-Context Argumentative Agents - Simon Parsons Carles (1998) (7 citations) (Correct)
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Distributed Problem Solving during Plan Execution - Branskat, Unger (Correct)
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Georgeff, M.P. and Lansky, A.L. (1987) Reactive Reasoning and Planning. In: Sixth National Conference on Artificial Intelligence, pp. 677-682.
Where Should Complexity Go? Cooperation in Complex Agents with.. - Bryson (2002) (Correct)
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M. P. Georgeff and A. L. Lansky. Reactive reasoning and planning. In Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-87), pages 677-- 682, Seattle, WA, 1987.
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