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the agent to compare subjects who may or may not benefit from a program in-stituted by the principal but administered by the agent. Budgets, quotas, and curves are prominent examples of bounded institutional structures. In an un-bounded structure, by contrast, the agent is not compelled to compare subjects
- Cognitive Limitations and Resource Bounds
- Idealization
- Accommodating Cognitive Limitations
- References and Further Reading
Every known cognitive agent has resource and cognitive limitations. Christopher Cherniak refers to this necessary condition as the “finitary predicament”: because agents are embodied, localized, and operate in physical environments, they necessarily face informational limitations. While philosophers have acknowledged this general fact, the precise ...
This section will discuss one dismissive response to problems posed by resource bounded agents. The basic idea behind this response is that descriptive facts about cognitive limitations are irrelevant to the normative enterprise.
The second major kind of response to resource bounded agents is to accommodate the descriptive facts of cognitive limitations into one’s normative theory. Proponents of this response claim that facts about cognitive limitations matter for normative theories. To continue with the example of believing inconsistent propositions, a theorist that adopte...
a. References
1. Appiah, Anthony. (1990). “Minimal Rationality by Christopher Cherniak.” The Philosophical Review, 99 (1): 121–123. 2. Bartlett, Fredrick C. (1932). Remembering: A Study in Experimental and Social Psychology, Cambridge, Cambridge University Press. 3. Cherniak, Christopher. (1986). Minimal Rationality, Cambridge, MIT Press. 3.1. An important work in the study of resource bounded agents. Discusses idealization in theories of rationality and conditions for agenthood. 4. Cowan, N. (2001). “The...
b. Further Reading
1. Bishop, Michael A. and Trout, J.D. (2005). Epistemology and the Psychology of Human Judgment, Oxford, Oxford University Press. 1.1. Discusses and offers critiques of various epistemic norms, often citing important work in cognitive science and cognitive psychology. 2. Christensen, David. (2005). Putting Logic in its Place, Cambridge, Oxford University Press. 2.1. Provides discussion about the use of idealized models. Argues that the unattainability of idealized normative standards in epist...
Author Information
Jacob Caton Email: jcaton@astate.edu Arkansas State University U. S. A.
This section describes the generative models of bounded and unbounded agents that we use to infer preferences from observed choices. We first describe the structure that is common to all of our agents. We then show that varying different parts of this structure lets us construct agents with different constraints.
This Essay examines two alternative designs for hierarchical institutions: “bounded” and “unbounded.” In a bounded structure, a principal decides on a bounded aggregate numerical allocation, and then an agent makes the allocation to an underlying subject population while complying with the bound.
Dec 22, 2020 · For example, distributed knowledge (DK) is often taken to reflect the potential knowledge of a group: what agents would know if they had unbounded means of communication and deductive ability. However, this does not specify whether/how this potential can be actualized, especially since real people are not unbounded reasoners.
- Anthia Solaki
- a.solaki2@uva.nl
- 2020
Aug 30, 2010 · PDF | Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals—however they came to be... | Find, read and cite all the research you need ...
with multiple states “unbounded beliefs” is not only unnecessary for learning, but in-compatible with familiar informational structures like normal information. Unbounded beliefs demands that a single agent can identify the correct action. Excludability, on the other hand, only requires that a single agent must be able to displace any wrong ...
