David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
The objective of this paper is to construct an implementable theory of rational decision-making for cognitive agents subject to realistic resource constraints. It is argued that decision-making should select actions indirectly by selecting plans that prescribe them. It is also argued that although expected values provide the tool for evaluating plans, plans cannot be compared straightforwardly in terms of their expected values, and the objective of a realistic agent cannot be to find optimal plans. The theory of Locally Global planning is proposed as a realistic alternative to standard "maximizing" theories of rational decision-making.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Paul Weirich (2004). Realistic Decision Theory: Rules for Nonideal Agents in Nonideal Circumstances. OUP USA.
John L. Pollock, Against Optimality: Logical Foundations for Decision-Theoretic Planning in Autonomous Agents.
John Pollock (2004). Plans And Decisions. Theory and Decision 57 (2):79-107.
John L. Pollock (2010). A Resource-Bounded Agent Addresses the Newcomb Problem. Synthese 176 (1):57 - 82.
Isaac Levi (1986). Hard Choices: Decision Making Under Unresolved Conflict. Cambridge University Press.
Added to index2009-01-28
Total downloads28 ( #63,346 of 1,102,700 )
Recent downloads (6 months)5 ( #61,837 of 1,102,700 )
How can I increase my downloads?