The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Plans and resource‐bounded practical reasoning
Abstract
An architecture for a rational agent must allow for means‐end reasoning, for the weighing of competing alternatives, and for interactions betwen these two forms of reasoning. Such an architecture must also address the problem of resource boundedness. We sketch a solution of the first problem that points the way to a solution of the second. In particular, we present a high‐level specification of the practical‐reasoning component of an architecture for a resource‐bounded rational agent. In this architecture, a major role of the agent's plans is to constrain the amount of further practical reasoning she must perform.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving
Fikes, R. E., & Nilsson, N. J. (1971) · Artificial Intelligence · doi:10.1016/0004-3702(71)90010-5 · Cited by 4,882
Research works printed but not linked: 20
- Albus J. S., 1981, Brains, behavior, and robotics
- Bratman M. E., 1987, Intention, plans and practical reason
- Cohen P. R., 1989, Intentions in communication
- DiFinetti B., 1975, Theory of probability
- Durfee E. H., 1986, Incremental planning to control a blackboard‐based problem solver, 58
- 10.1016/B978-0-934613-30-9.50008-1 · DOI
- Georgeff M. P., 1987, Annual review of computer science, 359
- Georgeff M. P., 1987, Reactive reasoning and planning, 677
- Georgeff M. P., 1987, Reasoning about actions and plans
- Jeffrey R., 1983, The logic of decision. 2nd ed.
- 10.1016/B978-0-934613-30-9.50019-6 · DOI · Paper page
- Kautz H. A., 1986, Constraint propagation algorithms for temporal reasoning, 377
- 10.1016/B978-0-934613-30-9.50009-3 · DOI
- McDermott D., 1985, Formal theories of the commonsense world, 269
- Sacerdoti E. D., 1977, A structure for plans and behavior
- Savage L. J., 1972, The foundations of statistics. 2nd ed.
- Schmidt C. F., 1985, Formal theories of the commonsense world, 227
- Simon H., 1957, Models of man.
- Sridharan N. S., 1982, Plan formation in large, realistic domains, 12
- 10.1016/0004-3702(84)90053-5 · doi:10.1016/0004-3702(84)90053-5
Cited by
Intelligent agents: theory and practice
Wooldridge, M., & Jennings, N. R. (1995) · The Knowledge Engineering Review · doi:10.1017/s0269888900008122 · Cited by 6,810
Being There: Putting Brain, Body and World Together Again.
van Gelder, T., & Clark, A. (1998) · The Philosophical Review · doi:10.2307/2998391 · Cited by 3,128
Toplak, M. E., West, R. F., & Stanovich, K. E. (2013) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12001 · Cited by 1,381
Agent theories, architectures, and languages: A survey
Wooldridge, M., & Jennings, N. R. (1995) · Lecture Notes in Computer Science · doi:10.1007/3-540-58855-8_1 · Cited by 1,363
The Rise and Potential of Large Language Model Based Agents: A Survey
Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., Zhou, E., et al. (2023) · arXiv · doi:10.48550/arxiv.2309.07864 · Cited by 972
Metadata
- Authors
- Bratman, M. E., Israel, D. J., & Pollack, M. E.
- Venue
- Computational Intelligence
- Publisher
- Wiley
- Published
- 1988-09
- Volume
- 4
- Issue
- 3
- Pages
- 349-355
- ISSN
- 0824-7935 (ISSN-L)
- 1467-8640
- OpenAlex
- W2004550196
- Cited by
- 1,136
- References
- 1
- FWCI
- 4.56
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Plans and resource‐bounded practical reasoning. https://app.cochat.ai/papers/10.1111/j.1467-8640.1988.tb00284.x
- The paper
- Bratman, M. E., Israel, D. J., & Pollack, M. E. (1988). Plans and resource‐bounded practical reasoning. Computational Intelligence. https://doi.org/10.1111/j.1467-8640.1988.tb00284.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
