Pomerol, J.-Ch., Artificial Intelligence and Human Decision Making , European Journal of Operational Research, 1997, 99, 3-25.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....of having a consistent explicative framework to anticipate the results of a decision or an action. This consistency is obtained by reasoning about causes and consequences in a given situation. We can thus separate the reasoning between diagnosing the real context and anticipating the follow up [30]. The second step needs a conscious reasoning about causes and consequences. A second proceduralization aspect is a kind of instantiation. This means that the contextual knowledge or background context needs some further specifications to perfectly fits the task at hand. These precisions and ....

Pomerol J.Ch. (1997) Artificial Intelligence and Human Decision Making, European Journal of Operational Research 99, 3-25.

....CBR starts by identifying past cases of relevance to the one at hand. If some cases are sufficiently similar, the solution stored with the most similar one is used. Otherwise, the case may either be solved by from the scratch reasoning, or by modifying the solutions of the most similar cases (Pomerol 1997). Integrating new cases provides a learning mechanism that allows to extend and refine past experience. CBR originated in the field of artificial intelligence, where it was developed to represent human problem solving. Since people mostly reason on whole cases rather than on isolated facts ....

....1997) Integrating new cases provides a learning mechanism that allows to extend and refine past experience. CBR originated in the field of artificial intelligence, where it was developed to represent human problem solving. Since people mostly reason on whole cases rather than on isolated facts (Pomerol 1997), it is hoped that CBR systems will facilitate insight into how humans arrive at solutions and will also facilitate interactive solution processes (Kraay, Harker 1996) An additional, more tangible motivation is provided by the fact that there are applications where it is easier or faster to ....

POMEROL, J.-C. (1997), "Artificial intelligence and human decision making", European Journal of Operational Research 99, 3-25.

....organization [5] In the broad sense, it consists of (1) assumptions and hypotheses about processes and actions, 2) models and procedures used to determine the elements of the scenario, 3) quantitative and qualitative factors, and (4) decisions, situations and interpretations. In decision theory [54], scenarios are the answer to the combinatorial explosion of strategic options in decision trees. As Figure 10 shows, a decision tree typically illustrates a game against nature , i.e. actions react to expected events while events impact the outcome of actions [Raiffa 1968] A scenario is then ....

Pomerol, J.-C. 1997. Artificial intelligence and human decision making. European Journal of Operations Research 99, 3-25.

....of having a consistent explicative framework to anticipate the results of a decision or an action. This consistency is obtained by reasoning about causes and consequences in a given situation. Thus, we can separate the reasoning between diagnosing the real context and, anticipating the follow up [28]. The second step needs a 4 conscious reasoning about causes and consequences. This explicit reasoning in the mind of the subject has also been recognized by Levesque [22] about beliefs, this is very close to our view. A second proceduralization aspect is a kind of instantiation (see also [13] ....

Pomerol, J.C. Artificial Intelligence and Human Decision Making. European Journal of Operational Research, 99 (1997), 3-25. 29 Pomerol, J.-C. Scenario development and practical decision making under uncertainty, Application to requirements engineering. Requirements Engineering, 3 (1998), 174-181.

....of having a consistent explicative framework to anticipate the results of a decision or an action. This consistency is obtained by reasoning about causes and consequences in a given situation. We can thus separate the reasoning between diagnosing the real context and anticipating the follow up [47]. The second step needs a conscious reasoning about causes and consequences. This explicit reasoning in the mind of the subject has also been recognized in [22] about beliefs, this is very close to our view. A second proceduralization aspect is a kind of instantiation (see also [48] This means ....

Pomerol J.Ch. (1997) Artificial Intelligence and Human Decision Making, European Journal of Operational Research 99, 3-25.

....information systems that is assumed to be sound. We call such systems, automatic systems. Process control is the main domain of automatic systems, but one can also find such systems in many industrial processes. They work if the decision is directly dependent on the diagnosis of the current state (Pomerol, 1995). Starting from the experts knowledge, these systems generally evolve towards refined diagnostic systems in which the model is progressively adjusted by the process engineers. Finally, after refinement, automatic systems act as black boxes whose models may be far from the initial human expertise. ....

....that are used by the system and have to be confident of the system outputs. Among the prominent questions bothering the decision makers is the link between the possible actions and the results. The answer to this question depends on what will happen in the future. This is the look ahead problem (Pomerol, 1995). This problem, together with subject preferences, deserves a special subsection. Incidence of the future and of preferences When coping with a decision problem, the decision maker faces two complex issues: 1) How to anticipate the results of a given action ; and (2) How to choose among the ....

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Pomerol, J.-Ch. (1995) Artificial intelligence and human decision making, Proc. of Euro XIV, Jerusalem, R. Slowinski Ed., 169-196.

.... Paris, 1993) In the light of some practical experience and especially of a recent implemented system for the interactive control of a subway line, we propose some ideas on this topic, and we focus on the problem of context sharing. We begin with some important issues pointed out by Brzillon and Pomerol (1996, 1997) concerning man machine interaction in the specific field of Knowledge Based Systems (KBSs) Among these concerns are : 1) The user is excluded from the problem solving process, when problems should be jointly solved by the user and the system, the former knowing the context in which the problem ....

....the proceduralized context is the contextual knowledge activated and structured to make diagnoses or decisions. Note also that in our work contextual is not opposed to linear reasoning as in Bainbridge (1997) see also Hoc and Amalberti (1995) for a criticism of linear models of diagnosis. As Pomerol (1997) stated, the analysis of decision systems which separate diagnosis from anticipations is just an engineer s simplification and not a cognitive model, however many observations about what is called decision bias in decision theory may be due to the wrong intertwining of diagnosis, anticipation and ....

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Pomerol, J.-Ch. (1997). Artificial Intelligence and Human Decision Making. European Journal of Operational Research, 99, 3-25.

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Pomerol, J.-Ch., Artificial Intelligence and Human Decision Making , European Journal of Operational Research, 1997, 99, 3-25.

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Pomerol J-Ch., 1997, Artificial intelligence and human decision making, European Journal of Operational Research 99, 3--25.

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Pomerol, J.-Ch., "Artificial Intelligence and Human Decision Making". European Journal of Operational Research, 1997, 99, pp. 3-25.

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