Order:
Disambiguations
Arif Ahmed [9]Adel Ahmed [5]A. Ahmed [2]Aldaour F. Ahmed [1]
Adel A. Ahmed [1]
See also
  1. Rationality and Future Discounting.Arif Ahmed - 2018 - Topoi 39 (2):245-256.
    The best justification of time-discounting is roughly that it is rational to care less about your more distant future because there is less of you around to have it. I argue that the standard version of this argument, which treats both psychological continuity and psychological connectedness as reasons to care about your future, can only rationalize an irrational—because exploitable—form of future discounting.
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  2.  86
    What Rationality Is.Arif Ahmed - manuscript
    A choice function C is rational iff: if it allows a path through a sequence of decisions with a particular outcome, then that outcome is amongst the ones that C would have chosen from amongst all the possible outcomes of the sequence. This implies, and it is the strongest definition that implies, that anyone who is irrational could be talked out of their own preferences. It also implies weak but non-vacuous constraints on choices over ends. These do not include alpha (...)
    Download  
     
    Export citation  
     
    Bookmark  
  3. Intelligent Tutoring Systems Survey for the Period 2000- 2018.Abdelbaset Almasri, Adel Ahmed, Naser Al-Masri, Yousef Abu Sultan, Ahmed Y. Mahmoud, Ihab Zaqout, Alaa N. Akkila & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (5):21-37.
    The main goals of Intelligent Tutoring Systems (ITS) are: providing highly developed instructional guidance on a one-to-one foundation that is improved than what is attained with traditional computer aided instruction and is analogous to that of a decent human tutor; and developing and testing models of intelligent processes associated with instruction. ITS is a subfield of artificial intelligence. ITS consists of four interacting components: the student model which embodies the student's present knowledge state, the pedagogical module which comprises appropriate instructional (...)
    Download  
     
    Export citation  
     
    Bookmark  
  4. Survey of Rule-Based Systems.Naser Masri, Yousef Abu Sultan, Alaa N. Akkila, Abdelbaset Almasri, Adel Ahmed, Ahmed Y. Mahmoud, Ihab Zaqout & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (7):1-23.
    Rule-Based Systems (RBS) are computer programs based on technologies established by Artificial Intelligence research, which express some characteristics of human knowledge and expertise to perform tasks normally done by human experts. Thus, a Rule -based system has two distinguishing features: a Rule base and an inference engine. The first part, the Rule base, represents facts about the world. The second part, the inference engine, allows new knowledge to be inferred. Most commonly, it can take the form of IF-THEN rules coupled (...)
    Download  
     
    Export citation  
     
    Bookmark  
  5. The Impact of Information Technology Used on the Nature of Administrators Work at Al-Azhar University in Gaza.Adel A. Ahmed, Samy S. Abu-Naser, Suliman A. El Talla & Mazen J. Al Shobaki - 2018 - International Journal of Academic Information Systems Research (IJAISR) 2 (6):1-20.
    The study aimed to examine the Information Technology used and its effect on the nature of the work of the administrators at Al-Azhar University in Gaza. The researchers used the analytical descriptive method through a questionnaire randomly distributed among the employees of Al-Azhar University in Gaza. The study was conducted on a sample of 77 employees the response rate was 92.20%. The study reached a number of results, the most important of which is that there is a high degree of (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  6.  84
    Accuracy and Statistical Evidence.Arif Ahmed - manuscript
    Abstract. Suppose that the word of an eyewitness makes it 80% probable that A committed a crime, and that B is drawn from a population in which the incidence rate of that crime is 80%. Many philosophers and legal theorists have held that if this is our only evidence against those parties then (i) we may be justified in finding against A but not against B; but (ii) that doing so incurs a loss in the accuracy of our findings. This (...)
    Download  
     
    Export citation  
     
    Bookmark  
  7. Knowledge-Based Systems Survey.Adel Ahmed, Naser Masri, Yousef Abu Sultan, Alaa N. Akkila, Abdelbaset Almasri, Ahmed Y. Mahmoud, Ihab Zaqout & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (7):1-22.
    Knowledge-Based Systems (KBS) are computer programs based on technologies established by Artificial Intelligence research, which express some characteristics of human knowledge and expertise to perform tasks normally done by human experts. Thus, a knowledge-based system has two distinguishing features: a knowledge base and an inference engine. The first part, the knowledge base, represents facts about the world. The second part, the inference engine, allows new knowledge to be inferred. Most commonly, it can take the form of IF-THEN rules coupled with (...)
    Download  
     
    Export citation  
     
    Bookmark  
  8. Causal Decision Theory: A Counterexample.Arif Ahmed - 2013 - Philosophical Review 122 (2):289-306.
    The essay presents a novel counterexample to Causal Decision Theory (CDT). Its interest is that it generates a case in which CDT violates the very principles that motivated it in the first place. The essay argues that the objection applies to all extant formulations of CDT and that the only way out for that theory is a modification of it that entails incompatibilism. The essay invites the reader to find this consequence of CDT a reason to reject it.
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  9.  91
    Survey of Intelligent Tutoring Systems Up to the End of 2017.Alaa N. Akkila, Abdelbaset Almasri, Adel Ahmed, Naser Al-Masri, Yousef Abu Sultan, Ahmed Y. Mahmoud, Ihab Zaqout & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (4):36-49.
    The main goals of Intelligent Tutoring Systems (ITS) are: providing highly developed instructional guidance on a one-to-one foundation that is improved than what is attained with traditional computer aided instruction and is analogous to that of a decent human tutor; and developing and testing models of intelligent processes associated with instruction. ITS is a subfield of artificial intelligence. ITS consists of four interacting components: the student model which embodies the student's present knowledge state, the pedagogical module which comprises appropriate instructional (...)
    Download  
     
    Export citation  
     
    Bookmark  
  10. Walters on Conjunction Conditionalization.Arif Ahmed - 2011 - Proceedings of the Aristotelian Society 111 (1pt1):115-122.
    This discussion note examines a recent argument for the principle that any counterfactual with true components is itself true. That argument rests upon two widely accepted principles of counterfactual logic to which the paper presents counterexamples. The conclusion speculates briefly upon the wider lessons that philosophers should draw from these examples for the semantics of counterfactuals.
    Download  
     
    Export citation  
     
    Bookmark   8 citations  
  11. Out of the Closet.A. Ahmed - 2011 - Analysis 71 (1):77-85.
    (No abstract is available for this citation).
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  12.  72
    Survey of Intelligent Tutoring Systems Up To the End of 2016.Alaa N. Akkila, Abdelbaset Almasri, Adel Ahmed, Naser Masri, Yousef Abu Sultan, Ahmed Y. Mahmoud, Ihab Zaqout & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (3):71-81.
    The main goals of Intelligent Tutoring Systems (ITS) are: providing highly developed instructional guidance on a one-to-one foundation that is improved than what is attained with traditional computer aided instruction and is analogous to that of a decent human tutor; and developing and testing models of intelligent processes associated with instruction. ITS is a subfield of artificial intelligence. ITS consists of four interacting components: the student model which embodies the student's present knowledge state, the pedagogical module which comprises appropriate instructional (...)
    Download  
     
    Export citation  
     
    Bookmark  
  13. Causal Decision Theory and EPR Correlations.Arif Ahmed & Adam Caulton - 2014 - Synthese 191 (18):4315-4352.
    The paper argues that on three out of eight possible hypotheses about the EPR experiment we can construct novel and realistic decision problems on which (a) Causal Decision Theory and Evidential Decision Theory conflict (b) Causal Decision Theory and the EPR statistics conflict. We infer that anyone who fully accepts any of these three hypotheses has strong reasons to reject Causal Decision Theory. Finally, we extend the original construction to show that anyone who gives any of the three hypotheses any (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  14.  59
    Anemia Expert System Diagnosis Using Sl5 Object.Aldaour F. Ahmed & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (5):9-17.
    Background: Anemia is a condition that occurs due to a lower concentration of hemoglobin than the normal level (non-pregnant adult females less than 11 g / dL and males younger than 13 g / dL). Because of the low level of hemoglobin, the body's organs suffer from lack of enough oxygen, so patients complain of signs and symptoms such as fatigue, headaches, lack of concentration, lethargy and others. Objectives: The main goal of this expert system is to get the appropriate (...)
    Download  
     
    Export citation  
     
    Bookmark  
  15. Sequential Choice and the Agent's Perspective.Arif Ahmed - manuscript
    Causal Decision Theory reckons the choice-worthiness of an option to be completely independent of its evidential bearing on its non-effects. But after one has made a choice this bearing is relevant to future decisions. Therefore it is possible to construct problems of sequential choice in which Causal Decision Theory makes a guaranteed loss. So Causal Decision Theory is wrong. The source of the problem is the idea that agents have a special perspective on their own contemplated actions, from which evidential (...)
    Download  
     
    Export citation  
     
    Bookmark  
  16. Arntzenius on ‘Why Ain’Cha Rich?’.Arif Ahmed & Huw Price - 2012 - Erkenntnis 77 (1):15-30.
    The best-known argument for Evidential Decision Theory (EDT) is the ‘Why ain’cha rich?’ challenge to rival Causal Decision Theory (CDT). The basis for this challenge is that in Newcomb-like situations, acts that conform to EDT may be known in advance to have the better return than acts that conform to CDT. Frank Arntzenius has recently proposed an ingenious counter argument, based on an example in which, he claims, it is predictable in advance that acts that conform to EDT will do (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  17. Signaling Systems and the Transcendental Deduction.A. Ahmed - forthcoming - In T. Goldschmidt K. Pearce (ed.), Idealism: New Essays in Metaphysics.
    The paper offers a model of Kant's claim that unity of consciousness entails objectivity of experience. This claim has nothing especially to do with thought, language or the categories but is a general truth about arbitrary signaling systems of the sort modeled in the paper. In conclusion I draw some consequences for various forms of idealism.
    Download  
     
    Export citation  
     
    Bookmark  
  18. Smokers and Psychos: Egan Cases Don't Work.Arif Ahmed - manuscript
    Andy Egan's Smoking Lesion and Psycho Button cases are supposed to be counterexamples to Causal Decision Theory. This paper argues that they are not: more precisely, it argues that if CDT makes the right call in Newcomb's problem then it makes the right call in Egan cases too.
    Download  
     
    Export citation  
     
    Bookmark