scholarly journals Critical Computation: Digital Automata and General Artificial Thinking

2019 ◽  
Vol 36 (2) ◽  
pp. 89-121 ◽  
Author(s):  
Luciana Parisi
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Inductive Method ◽  
Logical Thinking ◽  
Logical Inference ◽  
Critical Reasoning ◽  
Learning From Data ◽  
Human Thinking ◽  
Computational Systems ◽  
Adaptive Practice

As machines have become increasingly smart and have entangled human thinking with artificial intelligences, it seems no longer possible to distinguish among levels of decision-making that occur in the newly formed space between critical reasoning, logical inference and sheer calculation. Since the 1980s, computational systems of information processing have evolved to include not only deductive methods of decision, whereby results are already implicated in their premises, but have crucially shifted towards an adaptive practice of learning from data, an inductive method of retrieving information from the environment and establishing general premises. This shift in logical methods of decision-making does not simply concern technical apparatuses, but is a symptom of a transformation in logical thinking activated with and through machines. This article discusses the pioneering work of Katherine Hayles, whose study of the cybernetic and computational infrastructures of our culture particularly clarifies this epistemological transformation of thinking in relation to machines.

“Little Plants in the Country”: Henry Ford's Village Industries and the Beginning of Decentralized Technology in Modern America

Prospects ◽  
1988 ◽  
Vol 13 ◽  
pp. 181-223 ◽  
Author(s):  
Howard P. Segal
Keyword(s):  
United States ◽  
Decision Making ◽  
New York ◽  
Information Processing ◽  
Real Estate ◽  
New York Times ◽  
The United States ◽  
Physical Proximity ◽  
The World ◽  
Word Processors

“Technology Spurs Decentralization Across the Country.” So reads a 1984 New York Times article on real-estate trends in the United States. The contemporary revolution in information processing and transmittal now allows large businesses and other institutions to disperse their offices and other facilities across the country, even across the world, without loss of the policy- and decision-making abilities formerly requiring regular physical proximity. Thanks to computers, word processors, and the like, decentralization has become a fact of life in America and other highly technological societies.

scholarly journals Reasoning Through the Disjunctive Syllogism in Monkeys

2021 ◽  
Vol 32 (2) ◽  
pp. 292-300
Author(s):  
Stephen Ferrigno ◽  
Yiyun Huang ◽  
Jessica F. Cantlon
Keyword(s):  
Decision Making ◽  
Food Choice ◽  
Human Learning ◽  
Choice Task ◽  
Logical Inference ◽  
Critical Aspect ◽  
Disjunctive Syllogism ◽  
Symbolic Thought ◽  
Dependent Relation ◽  
Nonhuman Animals

The capacity for logical inference is a critical aspect of human learning, reasoning, and decision-making. One important logical inference is the disjunctive syllogism: given A or B, if not A, then B. Although the explicit formation of this logic requires symbolic thought, previous work has shown that nonhuman animals are capable of reasoning by exclusion, one aspect of the disjunctive syllogism (e.g., not A = avoid empty). However, it is unknown whether nonhuman animals are capable of the deductive aspects of a disjunctive syllogism (the dependent relation between A and B and the inference that “if not A, then B” must be true). Here, we used a food-choice task to test whether monkeys can reason through an entire disjunctive syllogism. Our results show that monkeys do have this capacity. Therefore, the capacity is not unique to humans and does not require language.

scholarly journals A new measure of group decision-making efficiency

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Cheng-Ju Hsieh ◽  
Mario Fifić ◽  
Cheng-Ta Yang
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Group Decision Making ◽  
Group Decision ◽  
Detection Task ◽  
Detection Sensitivity ◽  
System Level ◽  
Workload Capacity ◽  
Individual Decisions ◽  
Collective Benefit

Abstract It has widely been accepted that aggregating group-level decisions is superior to individual decisions. As compared to individuals, groups tend to show a decision advantage in their response accuracy. However, there has been a lack of research exploring whether group decisions are more efficient than individual decisions with a faster information-processing speed. To investigate the relationship between accuracy and response time (RT) in group decision-making, we applied systems’ factorial technology, developed by Townsend and Nozawa (Journal of Mathematical Psychology 39, 321–359, 1995) and regarded as a theory-driven methodology, to study the information-processing properties. More specifically, we measured the workload capacity CAND(t), which only considers the correct responses, and the assessment function of capacity AAND(t), which considers the speed-accuracy trade-off, to make a strong inference about the system-level processing efficiency. A two-interval, forced-choice oddball detection task, where participants had to detect which interval contains an odd target, was conducted in Experiment 1. Then, in Experiment 2, a yes/no Gabor detection task was adopted, where participants had to detect the presence of a Gabor patch. Our results replicated previous findings using the accuracy-based measure: Group detection sensitivity was better than the detection sensitivity of the best individual, especially when the two individuals had similar detection sensitivities. On the other hand, both workload capacity measures, CAND(t) and AAND(t), showed evidence of supercapacity processing, thus suggesting a collective benefit. The ordered relationship between accuracy-based and RT-based collective benefit was limited to the AAND(t) of the correct and fast responses, which may help uncover the processing mechanism behind collective benefits. Our results suggested that AAND(t), which combines both accuracy and RT into inferences, can be regarded as a novel and diagnostic tool for studying the group decision-making process.

Information transformation: Some missing links

2007 ◽  
Vol 26 (3) ◽  
pp. 157-172
Author(s):  
Ivan P. Vaghely ◽  
Pierre-André Julien ◽  
André Cyr
Keyword(s):  
Decision Making ◽  
Grounded Theory ◽  
Information Processing ◽  
Knowledge Creation ◽  
Best Practice ◽  
Participant Observation ◽  
Human Information Processing ◽  
Process Information ◽  
Information Transformation ◽  
Efficient Information

Using grounded theory along with participant observation and interviews the authors explore how individuals in organizations process information. They build a model of human information processing which links the cognitivist-constructionist perspective to an algorithmic-heuristic continuum. They test this model using non-parametric procedures and find interesting results showing links to efficient information processing outcomes such as contributions to decision-making, knowledge-creation and innovation. They also identify some elements of best practice by efficient human information processing individuals whom they call the “information catalysts”.

Information processing and age differences in social decision-making.

1986 ◽  
Vol 22 (4) ◽  
pp. 500-508 ◽  
Author(s):  
Chia-chen Chao ◽  
George P. Knight ◽  
Alan F. Dubro
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Age Differences ◽  
Social Decision ◽  
Social Decision Making
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