RyanH
04-15-2005, 12:52 AM
A couple of graduate students at MIT developed this website that automatically generates computer science-related research papers. The thing is, they are absolutely bogus and say nothing at all... but they sound really good. They even include fake charts and graphs to support their "conclusions" and include a works cited. :D :D :D
http://www.pdos.lcs.mit.edu/scigen/
At least one has already been PUBLISHED! Others have been submitted for peer review at various CS conferences and such. Here is a bogus paper that I generated randomly:
On the Simulation of Model Checking
Buck Henry
Abstract
Operating systems must work. Given the current status of distributed methodologies, system administrators obviously desire the evaluation of link-level acknowledgements. In order to fulfill this goal, we disprove that courseware and the UNIVAC computer can agree to solve this obstacle [17].
Table of Contents
1) Introduction
2) Related Work
3) Architecture
4) Implementation
5) Evaluation
* 5.1) Hardware and Software Configuration
* 5.2) Experimental Results
6) Conclusion
1 Introduction
The implications of distributed configurations have been far-reaching and pervasive. Continuing with this rationale, the shortcoming of this type of method, however, is that systems can be made robust, pseudorandom, and multimodal. Along these same lines, shockingly enough, it should be noted that RosinOva constructs the construction of e-commerce. Therefore, the Ethernet and the exploration of B-trees have paved the way for the visualization of agents.
To our knowledge, our work in this paper marks the first methodology analyzed specifically for cacheable configurations. The basic tenet of this solution is the emulation of massive multiplayer online role-playing games [6]. Two properties make this method different: our application develops web browsers, and also our application turns the introspective information sledgehammer into a scalpel. We emphasize that RosinOva turns the metamorphic configurations sledgehammer into a scalpel. As a result, we see no reason not to use amphibious configurations to construct the World Wide Web.
In this paper, we demonstrate not only that multicast heuristics can be made robust, symbiotic, and atomic, but that the same is true for consistent hashing. We emphasize that RosinOva creates interposable communication. The disadvantage of this type of approach, however, is that the foremost signed algorithm for the exploration of neural networks by Moore runs in W(n2) time. Continuing with this rationale, existing replicated and modular frameworks use vacuum tubes to explore the synthesis of congestion control [17]. Therefore, RosinOva prevents voice-over-IP.
Homogeneous applications are particularly robust when it comes to atomic archetypes. This follows from the analysis of the transistor. Existing scalable and permutable algorithms use neural networks to prevent the visualization of scatter/gather I/O. contrarily, interrupts might not be the panacea that systems engineers expected. In addition, two properties make this solution distinct: RosinOva is based on the principles of networking, and also RosinOva requests RAID. therefore, RosinOva turns the signed information sledgehammer into a scalpel.
The rest of the paper proceeds as follows. Primarily, we motivate the need for architecture. Continuing with this rationale, to fulfill this mission, we concentrate our efforts on disproving that neural networks and redundancy can interfere to achieve this intent [2]. To fulfill this purpose, we present an algorithm for virtual algorithms (RosinOva), disconfirming that Boolean logic and scatter/gather I/O are rarely incompatible. Furthermore, to answer this obstacle, we investigate how semaphores [14,17] can be applied to the exploration of the Ethernet. Finally, we conclude.
2 Related Work
In this section, we discuss related research into cacheable modalities, the visualization of semaphores, and RPCs [6,3]. On a similar note, the original method to this problem [19] was adamantly opposed; however, it did not completely answer this challenge. Our design avoids this overhead. Though Thompson et al. also presented this approach, we investigated it independently and simultaneously [8]. Contrarily, these methods are entirely orthogonal to our efforts.
Several game-theoretic and pervasive applications have been proposed in the literature. Recent work by O. Bhabha et al. [15] suggests a framework for synthesizing "fuzzy" information, but does not offer an implementation [16]. This is arguably ill-conceived. Furthermore, our application is broadly related to work in the field of networking by Brown, but we view it from a new perspective: the Turing machine [8]. In general, RosinOva outperformed all prior methodologies in this area. It remains to be seen how valuable this research is to the programming languages community.
Our system is broadly related to work in the field of theory by Williams and Brown, but we view it from a new perspective: amphibious epistemologies [13]. This approach is less fragile than ours. Continuing with this rationale, a recent unpublished undergraduate dissertation [12,5,9] explored a similar idea for homogeneous configurations [2]. Hector Garcia-Molina presented several concurrent solutions [7], and reported that they have great inability to effect mobile epistemologies. We plan to adopt many of the ideas from this prior work in future versions of our algorithm.
3 Architecture
Next, we construct our methodology for validating that our solution is in Co-NP. Such a claim might seem counterintuitive but is derived from known results. We assume that each component of our approach enables rasterization, independent of all other components. See our prior technical report [4] for details.
dia0.png
Figure 1: RosinOva creates amphibious models in the manner detailed above [4].
On a similar note, RosinOva does not require such a private prevention to run correctly, but it doesn't hurt. Rather than storing the exploration of superpages, RosinOva chooses to create metamorphic technology. Similarly, the model for RosinOva consists of four independent components: signed methodologies, robust communication, public-private key pairs, and the lookaside buffer. This may or may not actually hold in reality. We use our previously simulated results as a basis for all of these assumptions.
dia1.png
Figure 2: Our methodology learns self-learning communication in the manner detailed above.
Suppose that there exists the UNIVAC computer such that we can easily construct the visualization of vacuum tubes. This seems to hold in most cases. We hypothesize that each component of our system allows e-commerce, independent of all other components. This is an unproven property of RosinOva. We assume that each component of RosinOva simulates the Turing machine, independent of all other components. This seems to hold in most cases. See our related technical report [19] for details.
4 Implementation
Though many skeptics said it couldn't be done (most notably Sun), we motivate a fully-working version of our application. Similarly, since our heuristic is based on the principles of networking, hacking the hand-optimized compiler was relatively straightforward. It at first glance seems unexpected but has ample historical precendence. Furthermore, RosinOva requires root access in order to enable constant-time modalities. The client-side library contains about 80 instructions of ML. we plan to release all of this code under Microsoft-style.
5 Evaluation
As we will soon see, the goals of this section are manifold. Our overall performance analysis seeks to prove three hypotheses: (1) that agents no longer affect performance; (2) that median popularity of operating systems [11] is a bad way to measure expected time since 1993; and finally (3) that superpages no longer impact RAM throughput. The reason for this is that studies have shown that complexity is roughly 02% higher than we might expect [18]. Along these same lines, our logic follows a new model: performance matters only as long as performance constraints take a back seat to average sampling rate. We hope to make clear that our microkernelizing the effective power of our distributed system is the key to our evaluation.
5.1 Hardware and Software Configuration
figure0.png
Figure 3: The average work factor of our system, compared with the other approaches. This follows from the deployment of simulated annealing.
Our detailed evaluation mandated many hardware modifications. We carried out a simulation on our ambimorphic cluster to disprove oportunistically "smart" symmetries's impact on C. Wilson 's refinement of Boolean logic in 1980. This configuration step was time-consuming but worth it in the end. To begin with, we tripled the hard disk space of CERN's mobile telephones. Continuing with this rationale, we removed 10MB of flash-memory from our mobile telephones. We doubled the effective NV-RAM speed of our system. In the end, we removed 100 8GHz Pentium IIs from our system to disprove the collectively stable nature of independently electronic information. Note that only experiments on our human test subjects (and not on our heterogeneous testbed) followed this pattern.
figure1.png
Figure 4: Note that response time grows as block size decreases - a phenomenon worth exploring in its own right.
RosinOva does not run on a commodity operating system but instead requires a collectively autonomous version of Ultrix Version 8c. we added support for RosinOva as a kernel module. We added support for RosinOva as a mutually exclusive kernel module. Next, We made all of our software is available under a copy-once, run-nowhere license.
5.2 Experimental Results
figure2.png
Figure 5: The average power of RosinOva, compared with the other applications.
Our hardware and software modficiations show that rolling out RosinOva is one thing, but emulating it in software is a completely different story. We ran four novel experiments: (1) we measured hard disk speed as a function of RAM throughput on an Atari 2600; (2) we ran 07 trials with a simulated DHCP workload, and compared results to our earlier deployment; (3) we asked (and answered) what would happen if oportunistically random multi-processors were used instead of robots; and (4) we compared distance on the MacOS X, EthOS and Minix operating systems. We discarded the results of some earlier experiments, notably when we measured Web server and E-mail performance on our system.
Now for the climactic analysis of the second half of our experiments. Gaussian electromagnetic disturbances in our XBox network caused unstable experimental results. Of course, all sensitive data was anonymized during our courseware simulation. Error bars have been elided, since most of our data points fell outside of 22 standard deviations from observed means.
We next turn to experiments (3) and (4) enumerated above, shown in Figure 4. Bugs in our system caused the unstable behavior throughout the experiments. Gaussian electromagnetic disturbances in our psychoacoustic cluster caused unstable experimental results. Third, bugs in our system caused the unstable behavior throughout the experiments.
Lastly, we discuss all four experiments. The data in Figure 5, in particular, proves that four years of hard work were wasted on this project. Gaussian electromagnetic disturbances in our desktop machines caused unstable experimental results. Along these same lines, note how emulating local-area networks rather than simulating them in hardware produce more jagged, more reproducible results.
6 Conclusion
RosinOva will address many of the problems faced by today's theorists [10,1]. The characteristics of our framework, in relation to those of more seminal frameworks, are daringly more unfortunate. Along these same lines, one potentially improbable shortcoming of our algorithm is that it will be able to control electronic technology; we plan to address this in future work. We demonstrated that complexity in RosinOva is not a question. We disproved that usability in our methodology is not an obstacle. Finally, we used omniscient symmetries to confirm that the much-tauted ubiquitous algorithm for the emulation of local-area networks by Bhabha et al. is impossible.
References
[1]
Agarwal, R., and Kaashoek, M. F. Developing massive multiplayer online role-playing games and Voice-over- IP with GenuVermil. In Proceedings of JAIR (Oct. 1991).
[2]
Bose, W. Deconstructing evolutionary programming using guild. Journal of Decentralized, Wireless Technology 9 (Aug. 2003), 70-83.
[3]
Clark, D., Karp, R., Wu, P., and Wilson, O. Ubiquitous models for cache coherence. Journal of Scalable, Random Epistemologies 39 (Apr. 2004), 89-104.
[4]
Gayson, M., Lampson, B., and Ito, D. Z. Decoupling multicast solutions from forward-error correction in RPCs. In Proceedings of the Symposium on Autonomous Symmetries (Feb. 2004).
[5]
Hamming, R., and Scott, D. S. Contrasting I/O automata and the Ethernet. Tech. Rep. 8311/95, IBM Research, Apr. 2003.
[6]
Henry, B., and Anderson, X. Refinement of consistent hashing. Journal of Encrypted Information 98 (Mar. 2002), 50-64.
[7]
Hoare, C. A. R. Celt: Virtual modalities. OSR 81 (Dec. 2003), 153-199.
[8]
Jackson, O. Deconstructing redundancy. In Proceedings of the Symposium on Linear-Time, Knowledge-Base Epistemologies (Nov. 2005).
[9]
Johnson, V. W., Maruyama, J. G., Papadimitriou, C., Feigenbaum, E., and Suzuki, K. Kame: Visualization of virtual machines. Journal of Large-Scale, Cacheable Technology 8 (Aug. 1996), 76-84.
[10]
Kaashoek, M. F., and Li, G. Towards the emulation of expert systems. In Proceedings of the Conference on Semantic, Concurrent Archetypes (Dec. 2005).
[11]
Karp, R. Refining the UNIVAC computer using robust modalities. In Proceedings of NOSSDAV (Sept. 2004).
[12]
Leiserson, C., Anderson, R. H., Davis, N., and Shastri, T. An emulation of semaphores with Scent. In Proceedings of OSDI (Aug. 2001).
[13]
Li, X. Decoupling simulated annealing from replication in neural networks. In Proceedings of the Workshop on "Smart", Event-Driven Technology (Sept. 2003).
[14]
Papadimitriou, C. An exploration of lambda calculus. In Proceedings of OSDI (Aug. 2004).
[15]
Qian, C., Martin, Z., Nehru, a., and Hartmanis, J. Analyzing wide-area networks and e-business. In Proceedings of the Symposium on Low-Energy Communication (July 1994).
[16]
Schroedinger, E. Enabling forward-error correction using metamorphic information. Journal of Automated Reasoning 86 (Sept. 1998), 156-199.
[17]
Stearns, R. Bayesian models for reinforcement learning. In Proceedings of IPTPS (Sept. 2000).
[18]
Wang, G. Deployment of multicast algorithms. Journal of Bayesian, Decentralized Configurations 94 (Dec. 2001), 76-98.
[19]
Williams, M., Gupta, C., and Gray, J. The influence of electronic epistemologies on complexity theory. Journal of Interactive, Decentralized Information 56 (Nov. 2005), 72-83.
http://www.pdos.lcs.mit.edu/scigen/
At least one has already been PUBLISHED! Others have been submitted for peer review at various CS conferences and such. Here is a bogus paper that I generated randomly:
On the Simulation of Model Checking
Buck Henry
Abstract
Operating systems must work. Given the current status of distributed methodologies, system administrators obviously desire the evaluation of link-level acknowledgements. In order to fulfill this goal, we disprove that courseware and the UNIVAC computer can agree to solve this obstacle [17].
Table of Contents
1) Introduction
2) Related Work
3) Architecture
4) Implementation
5) Evaluation
* 5.1) Hardware and Software Configuration
* 5.2) Experimental Results
6) Conclusion
1 Introduction
The implications of distributed configurations have been far-reaching and pervasive. Continuing with this rationale, the shortcoming of this type of method, however, is that systems can be made robust, pseudorandom, and multimodal. Along these same lines, shockingly enough, it should be noted that RosinOva constructs the construction of e-commerce. Therefore, the Ethernet and the exploration of B-trees have paved the way for the visualization of agents.
To our knowledge, our work in this paper marks the first methodology analyzed specifically for cacheable configurations. The basic tenet of this solution is the emulation of massive multiplayer online role-playing games [6]. Two properties make this method different: our application develops web browsers, and also our application turns the introspective information sledgehammer into a scalpel. We emphasize that RosinOva turns the metamorphic configurations sledgehammer into a scalpel. As a result, we see no reason not to use amphibious configurations to construct the World Wide Web.
In this paper, we demonstrate not only that multicast heuristics can be made robust, symbiotic, and atomic, but that the same is true for consistent hashing. We emphasize that RosinOva creates interposable communication. The disadvantage of this type of approach, however, is that the foremost signed algorithm for the exploration of neural networks by Moore runs in W(n2) time. Continuing with this rationale, existing replicated and modular frameworks use vacuum tubes to explore the synthesis of congestion control [17]. Therefore, RosinOva prevents voice-over-IP.
Homogeneous applications are particularly robust when it comes to atomic archetypes. This follows from the analysis of the transistor. Existing scalable and permutable algorithms use neural networks to prevent the visualization of scatter/gather I/O. contrarily, interrupts might not be the panacea that systems engineers expected. In addition, two properties make this solution distinct: RosinOva is based on the principles of networking, and also RosinOva requests RAID. therefore, RosinOva turns the signed information sledgehammer into a scalpel.
The rest of the paper proceeds as follows. Primarily, we motivate the need for architecture. Continuing with this rationale, to fulfill this mission, we concentrate our efforts on disproving that neural networks and redundancy can interfere to achieve this intent [2]. To fulfill this purpose, we present an algorithm for virtual algorithms (RosinOva), disconfirming that Boolean logic and scatter/gather I/O are rarely incompatible. Furthermore, to answer this obstacle, we investigate how semaphores [14,17] can be applied to the exploration of the Ethernet. Finally, we conclude.
2 Related Work
In this section, we discuss related research into cacheable modalities, the visualization of semaphores, and RPCs [6,3]. On a similar note, the original method to this problem [19] was adamantly opposed; however, it did not completely answer this challenge. Our design avoids this overhead. Though Thompson et al. also presented this approach, we investigated it independently and simultaneously [8]. Contrarily, these methods are entirely orthogonal to our efforts.
Several game-theoretic and pervasive applications have been proposed in the literature. Recent work by O. Bhabha et al. [15] suggests a framework for synthesizing "fuzzy" information, but does not offer an implementation [16]. This is arguably ill-conceived. Furthermore, our application is broadly related to work in the field of networking by Brown, but we view it from a new perspective: the Turing machine [8]. In general, RosinOva outperformed all prior methodologies in this area. It remains to be seen how valuable this research is to the programming languages community.
Our system is broadly related to work in the field of theory by Williams and Brown, but we view it from a new perspective: amphibious epistemologies [13]. This approach is less fragile than ours. Continuing with this rationale, a recent unpublished undergraduate dissertation [12,5,9] explored a similar idea for homogeneous configurations [2]. Hector Garcia-Molina presented several concurrent solutions [7], and reported that they have great inability to effect mobile epistemologies. We plan to adopt many of the ideas from this prior work in future versions of our algorithm.
3 Architecture
Next, we construct our methodology for validating that our solution is in Co-NP. Such a claim might seem counterintuitive but is derived from known results. We assume that each component of our approach enables rasterization, independent of all other components. See our prior technical report [4] for details.
dia0.png
Figure 1: RosinOva creates amphibious models in the manner detailed above [4].
On a similar note, RosinOva does not require such a private prevention to run correctly, but it doesn't hurt. Rather than storing the exploration of superpages, RosinOva chooses to create metamorphic technology. Similarly, the model for RosinOva consists of four independent components: signed methodologies, robust communication, public-private key pairs, and the lookaside buffer. This may or may not actually hold in reality. We use our previously simulated results as a basis for all of these assumptions.
dia1.png
Figure 2: Our methodology learns self-learning communication in the manner detailed above.
Suppose that there exists the UNIVAC computer such that we can easily construct the visualization of vacuum tubes. This seems to hold in most cases. We hypothesize that each component of our system allows e-commerce, independent of all other components. This is an unproven property of RosinOva. We assume that each component of RosinOva simulates the Turing machine, independent of all other components. This seems to hold in most cases. See our related technical report [19] for details.
4 Implementation
Though many skeptics said it couldn't be done (most notably Sun), we motivate a fully-working version of our application. Similarly, since our heuristic is based on the principles of networking, hacking the hand-optimized compiler was relatively straightforward. It at first glance seems unexpected but has ample historical precendence. Furthermore, RosinOva requires root access in order to enable constant-time modalities. The client-side library contains about 80 instructions of ML. we plan to release all of this code under Microsoft-style.
5 Evaluation
As we will soon see, the goals of this section are manifold. Our overall performance analysis seeks to prove three hypotheses: (1) that agents no longer affect performance; (2) that median popularity of operating systems [11] is a bad way to measure expected time since 1993; and finally (3) that superpages no longer impact RAM throughput. The reason for this is that studies have shown that complexity is roughly 02% higher than we might expect [18]. Along these same lines, our logic follows a new model: performance matters only as long as performance constraints take a back seat to average sampling rate. We hope to make clear that our microkernelizing the effective power of our distributed system is the key to our evaluation.
5.1 Hardware and Software Configuration
figure0.png
Figure 3: The average work factor of our system, compared with the other approaches. This follows from the deployment of simulated annealing.
Our detailed evaluation mandated many hardware modifications. We carried out a simulation on our ambimorphic cluster to disprove oportunistically "smart" symmetries's impact on C. Wilson 's refinement of Boolean logic in 1980. This configuration step was time-consuming but worth it in the end. To begin with, we tripled the hard disk space of CERN's mobile telephones. Continuing with this rationale, we removed 10MB of flash-memory from our mobile telephones. We doubled the effective NV-RAM speed of our system. In the end, we removed 100 8GHz Pentium IIs from our system to disprove the collectively stable nature of independently electronic information. Note that only experiments on our human test subjects (and not on our heterogeneous testbed) followed this pattern.
figure1.png
Figure 4: Note that response time grows as block size decreases - a phenomenon worth exploring in its own right.
RosinOva does not run on a commodity operating system but instead requires a collectively autonomous version of Ultrix Version 8c. we added support for RosinOva as a kernel module. We added support for RosinOva as a mutually exclusive kernel module. Next, We made all of our software is available under a copy-once, run-nowhere license.
5.2 Experimental Results
figure2.png
Figure 5: The average power of RosinOva, compared with the other applications.
Our hardware and software modficiations show that rolling out RosinOva is one thing, but emulating it in software is a completely different story. We ran four novel experiments: (1) we measured hard disk speed as a function of RAM throughput on an Atari 2600; (2) we ran 07 trials with a simulated DHCP workload, and compared results to our earlier deployment; (3) we asked (and answered) what would happen if oportunistically random multi-processors were used instead of robots; and (4) we compared distance on the MacOS X, EthOS and Minix operating systems. We discarded the results of some earlier experiments, notably when we measured Web server and E-mail performance on our system.
Now for the climactic analysis of the second half of our experiments. Gaussian electromagnetic disturbances in our XBox network caused unstable experimental results. Of course, all sensitive data was anonymized during our courseware simulation. Error bars have been elided, since most of our data points fell outside of 22 standard deviations from observed means.
We next turn to experiments (3) and (4) enumerated above, shown in Figure 4. Bugs in our system caused the unstable behavior throughout the experiments. Gaussian electromagnetic disturbances in our psychoacoustic cluster caused unstable experimental results. Third, bugs in our system caused the unstable behavior throughout the experiments.
Lastly, we discuss all four experiments. The data in Figure 5, in particular, proves that four years of hard work were wasted on this project. Gaussian electromagnetic disturbances in our desktop machines caused unstable experimental results. Along these same lines, note how emulating local-area networks rather than simulating them in hardware produce more jagged, more reproducible results.
6 Conclusion
RosinOva will address many of the problems faced by today's theorists [10,1]. The characteristics of our framework, in relation to those of more seminal frameworks, are daringly more unfortunate. Along these same lines, one potentially improbable shortcoming of our algorithm is that it will be able to control electronic technology; we plan to address this in future work. We demonstrated that complexity in RosinOva is not a question. We disproved that usability in our methodology is not an obstacle. Finally, we used omniscient symmetries to confirm that the much-tauted ubiquitous algorithm for the emulation of local-area networks by Bhabha et al. is impossible.
References
[1]
Agarwal, R., and Kaashoek, M. F. Developing massive multiplayer online role-playing games and Voice-over- IP with GenuVermil. In Proceedings of JAIR (Oct. 1991).
[2]
Bose, W. Deconstructing evolutionary programming using guild. Journal of Decentralized, Wireless Technology 9 (Aug. 2003), 70-83.
[3]
Clark, D., Karp, R., Wu, P., and Wilson, O. Ubiquitous models for cache coherence. Journal of Scalable, Random Epistemologies 39 (Apr. 2004), 89-104.
[4]
Gayson, M., Lampson, B., and Ito, D. Z. Decoupling multicast solutions from forward-error correction in RPCs. In Proceedings of the Symposium on Autonomous Symmetries (Feb. 2004).
[5]
Hamming, R., and Scott, D. S. Contrasting I/O automata and the Ethernet. Tech. Rep. 8311/95, IBM Research, Apr. 2003.
[6]
Henry, B., and Anderson, X. Refinement of consistent hashing. Journal of Encrypted Information 98 (Mar. 2002), 50-64.
[7]
Hoare, C. A. R. Celt: Virtual modalities. OSR 81 (Dec. 2003), 153-199.
[8]
Jackson, O. Deconstructing redundancy. In Proceedings of the Symposium on Linear-Time, Knowledge-Base Epistemologies (Nov. 2005).
[9]
Johnson, V. W., Maruyama, J. G., Papadimitriou, C., Feigenbaum, E., and Suzuki, K. Kame: Visualization of virtual machines. Journal of Large-Scale, Cacheable Technology 8 (Aug. 1996), 76-84.
[10]
Kaashoek, M. F., and Li, G. Towards the emulation of expert systems. In Proceedings of the Conference on Semantic, Concurrent Archetypes (Dec. 2005).
[11]
Karp, R. Refining the UNIVAC computer using robust modalities. In Proceedings of NOSSDAV (Sept. 2004).
[12]
Leiserson, C., Anderson, R. H., Davis, N., and Shastri, T. An emulation of semaphores with Scent. In Proceedings of OSDI (Aug. 2001).
[13]
Li, X. Decoupling simulated annealing from replication in neural networks. In Proceedings of the Workshop on "Smart", Event-Driven Technology (Sept. 2003).
[14]
Papadimitriou, C. An exploration of lambda calculus. In Proceedings of OSDI (Aug. 2004).
[15]
Qian, C., Martin, Z., Nehru, a., and Hartmanis, J. Analyzing wide-area networks and e-business. In Proceedings of the Symposium on Low-Energy Communication (July 1994).
[16]
Schroedinger, E. Enabling forward-error correction using metamorphic information. Journal of Automated Reasoning 86 (Sept. 1998), 156-199.
[17]
Stearns, R. Bayesian models for reinforcement learning. In Proceedings of IPTPS (Sept. 2000).
[18]
Wang, G. Deployment of multicast algorithms. Journal of Bayesian, Decentralized Configurations 94 (Dec. 2001), 76-98.
[19]
Williams, M., Gupta, C., and Gray, J. The influence of electronic epistemologies on complexity theory. Journal of Interactive, Decentralized Information 56 (Nov. 2005), 72-83.