Biologically inspired distributed machine cognition: a new formal approach to hyperparallel computation

The irresistable march toward multiple-core chip technology presents currently intractable pdrogramming challenges. High level mental processes in many animals, and their analogs for social structures, appear similarly massively parallel, and recent mathematical models addressing them may be adaptable to the multi-core programming problem

Artificial Intelligence in the Context of Human Consciousness

Artificial intelligence (AI) can be defined as the ability of a machine to learn and make decisions based on acquired information. AI’s development has incited rampant public speculation regarding the singularity theory: a futuristic phase in which intelligent machines are capable of creating increasingly intelligent systems. Its implications, combined with the close relationship between humanity and their machines, make achieving understanding both natural and artificial intelligence imperative. Researchers are continuing to discover natural processes responsible for essential human skills like decision-making, understanding language, and performing multiple processes simultaneously. Artificial intelligence attempts to simulate these functions through techniques like artificial neural networks, Markov Decision Processes, Human Language Technology, and Multi-Agent Systems, which rely upon a combination of mathematical models and hardware

AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking

Transfer Optimization is an incipient research area dedicated to solving multiple optimization tasks simultaneously. Among the different approaches that can address this problem effectively, Evolutionary Multitasking resorts to concepts from Evolutionary Computation to solve multiple problems within a single search process. In this paper we introduce a novel adaptive metaheuristic algorithm to deal with Evolutionary Multitasking environments coined as Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm (AT-MFCGA). AT-MFCGA relies on cellular automata to implement mechanisms in order to exchange knowledge among the optimization problems under consideration. Furthermore, our approach is able to explain by itself the synergies among tasks that were encountered and exploited during the search, which helps us to understand interactions between related optimization tasks. A comprehensive experimental setup is designed to assess and compare the performance of AT-MFCGA to that of other renowned Evolutionary Multitasking alternatives (MFEA and MFEA-II). Experiments comprise 11 multitasking scenarios composed of 20 instances of 4 combinatorial optimization problems, yielding the largest discrete multitasking environment solved to date. Results are conclusive in regard to the superior quality of solutions provided by AT-MFCGA with respect to the rest of the methods, which are complemented by a quantitative examination of the genetic transferability among tasks throughout the search process

Producing effective messages in the multicommunicating environment managing multitasking in organizational meetings

At some time during a week a corporate worker is likely to attend an organizational meeting. The availability of multiple wireless technologies makes it possible for meeting attendees to be engaged in multitasking, i.e., performing multiple tasks simultaneously. During meetings the attendees often take the opportunity to continue working on their projects, read and write e-mail messages or surf the Web. This study evaluated the impacts of such multitasking behaviors on individual performances in the multicommunicating environment. The study used the experimental design. Respondents for this study were 154 undergraduate students in a large southeastern university. The participants accomplished two communication tasks simultaneously during the experiment: listening and writing. They were instructed to listen to a lecture presentation and at the same time write responses to an open-ended online survey questions, i.e., the participants of the study were multitasking.The researcher compared several factors (social presence, multitasking abilities, polychronicity, task prioritization, and receiver apprehension) for three different treatments (multi task vs. single task, live presenter vs. virtual presenter, one channel vs. two channels). In addition, a scale to measure multitasking abilities was developed and validated during the experiment. It was found that multitasking or completing two tasks simultaneously significantly decreases performances on both tasks. The performance on the listening task was decreased by 9.5%; the writing task performance was decreased by 11.2%. The researcher found no evidence that the degree of social presence could affect task prioritization and performance in the multicommunicating environment. However, multi-task performance was improved in the two-channel condition. Presenting the information in visual and oral forms significantly enhanced the information recall on the listening task.This finding suggests that the negative impact of multitasking can be reduced under certain conditions. The results of the study also indicate that individuals differ in their abilities to multitask. It was found that the level of receiver apprehension affects not only processing outcomes as message information is being received and perceived, but also processing outcomes as message information is being produced. It seems relatively clear that being less apprehensive about listening is an index of better performance in the multicommunicating environment

RESPECTING THE HETEROGENEITY OF THE NATIVES: ANTECEDENTS AND CONSEQUENCES OF INDIVIDUALS´ DIGITAL NATIVENESS

The Internet and digital media have forced many individuals to change their attitudes and behaviours in nearly all aspects of life, including work and consumption. Other individuals, often younger, have grown up with digital media and seem not to have undergone changes in attitudes and behaviours. This research suggests, however, that age should not be used as the criterion to differentiate between individuals´ attitudes and behaviours towards digital media. Rather, we suggest utilizing a construct that we call digital nativeness which we characterize as an individual\u27s propensity to use and have a positive attitude towards digital media. Both a qualitative and a quantitative study investigate digital nativeness as well as its antecedents and consequnces. Results show that digital nativeness consists of three dimensions: Expertise in digital media, sophisticated digital media use and sophisticated mobile media use. The studies suggest that early and ubiquitous access to digital media influnce an individual´s level of digital nativeness, while, importantly, age does not have such an influnce. A high level of digital nativeness positively affects individuals´ attitude towards online social network communication, preference for online advertising, learning by doing, and media multitasking. Important implications for scholars and managers can be derived from this research

Relating Planner Task Performance for Container Terminal Operations to Multi-Tasking Skills and Personality Type

Planning the operations within a container terminal is a complex task. It requires planners to demonstrate adaptive behavior while handling stressful, complex, and unexpected situations in today’s dynamic and technology dependent workplace. This paper aims at investigating the role of multi-tasking ability, moderated by an individual’s personality type, in predicting planner task performance using simulation gaming methods. Hierarchical regression analysis results demonstrate that the direct effect of multi-tasking ability on performance is positive and significant. With one exception, the personality traits do not significantly intensify or lessen the impact of multi-tasking in predicting task performance. The personality trait, openness to experience, significantly lessens the impact of multi-tasking ability on performance. Our results suggest that container terminal operators may benefit by considering the above-mentioned results while allocating planning tasks to their employees and new recruits. The instruments used in this research could also be used for evaluating and training candidate planners