The challenge of complexity for cognitive systems

Complex cognition addresses research on (a) high-level cognitive processes – mainly problem solving, reasoning, and decision making – and their interaction with more basic processes such as perception, learning, motivation and emotion and (b) cognitive processes which take place in a complex, typically dynamic, environment. Our focus is on AI systems and cognitive models dealing with complexity and on psychological findings which can inspire or challenge cognitive systems research. In this overview we first motivate why we have to go beyond models for rather simple cognitive processes and reductionist experiments. Afterwards, we give a characterization of complexity from our perspective. We introduce the triad of cognitive science methods – analytical, empirical, and engineering methods – which in our opinion have all to be utilized to tackle complex cognition. Afterwards we highlight three aspects of complex cognition – complex problem solving, dynamic decision making, and learning of concepts, skills and strategies. We conclude with some reflections about and challenges for future research

Creation of a specific and separated pediatric intra-hospital pathway in primary level hospitals during the era of COVID-19

Every new pandemic forces us to start new specific behaviors both in the civil life and within the hospitals trying to contain the spreading of the infection and preserve the more fragile people. In this regard, at the debut of Severe Acute Respiratory Syndrome-CoronaVirus-2 (SARS-CoV-2) pandemic, our Local Health Agency had drastically modified every clinical and organizational pathways in order to limit the diffusion of the infection as well as to maintain a good quality of care and preserve healthcare workers. We report how we have modified the usual pediatric intra-hospital pathways in our primary level hospital to avoid mixing children with suspected and non-suspected symptoms of SARS-CoV-2 infection. Before every hospitalization, regardless of symptoms, each child and him/her parent/caregiver are undergone to rapid antigenic and molecular swab to rule out a SARS-CoV-2 infection; hence, positive patients are transferred to Pediatric Unit of third level hospital equipped by a Pediatric COVID Intensive Unit. We think the healthcare behaviors described in this manuscript can help to reduce the intra-hospital spreading of SARS-CoV-2, although children seem to have a minimal role in the dissemination, but we cannot let down your guard. Simultaneously we observed that the overall children requiring inpatient pediatric evaluation and hospitalization have dramatically decreased from the beginning of pandemic

Effect of type of suckling and polyunsaturated fatty acid use on lamb production. 2. Chemical and fatty acid composition of raw and cooked meat

This study was carried out in order to examine the chemical and fatty acid composition of raw and cooked meat obtained fromlambs raised under mothers or reared by artificial suckling with acidified milk replacers with or without polyunsaturated fattyacid (PUFA) supplementation. Meat samples were taken from twenty Gentile di Puglia male lambs subjected to the followingfeeding treatments: the control group received only maternal milk (MM, n.=6) while two groups were reared by artificial sucklingwith an acidified milk replacer (MR, n.=7) or with an acidified milk replacer supplemented with 10 ml/l of a PUFA enrichedoil (MR+PUFA, n.=7). Lambs were slaughtered at 45 days of age. After 24 hours of refrigeration at 4 °C, the lumbar regionwas dissected from each right half-carcass and split into pieces, one of which was used raw while the other was cooked in aventilated electric oven at 180 °C until an internal temperature of 75 °C was reached. Chemical and fatty acid analysis wereperformed on raw and cooked meat, while only raw meat was assessed for cholesterol. Cooking losses were also evaluated.Meat obtained from MR+PUFA fed lambs contained more fat (P<0.01) and less protein (P<0.05) than MM lambs. Nursingunder mothers increased the total amount of saturated fatty acids (SFA), compared with both the MR group (P<0.05) and tothe MR+PUFA one (P<0.01). In MM meat samples, fewer PUFAs (P<0.01) and omega-6 fatty acids (P<0.01) were found incomparison with both MR diets. The highest PUFA/SFA ratio of meat was recorded for the MR+PUFA group (0.27), with statisticaldifferences respect to the MR group (0.21; P<0.05) and to the MM one (0.14; P<0.01). Lambs raised with maternalmilk produced meat containing more cholesterol than the MR+PUFA group (85.89 vs 76.26 mg/100 g; P<0.05). The atherogenicityindex of meat was higher following natural rearing in comparison with the MR+PUFA treatment (1.34 vs 1.05;P<0.05), while the PCL/PCE ratio was significantly higher in MR+PUFA samples than in both MM and MR ones (0.93 vs 0.77and 0.76, respectively; P<0.05). Cooking cancelled the differences between treatments with regard to the all the dieteticparameters evaluated. In conclusion, artificial suckling with acidified milk replacers improves some meat quality features.Supplementation of milk replacers with PUFAs, although in a limited way, may improve the dietetic properties of lamb meat

Sensory quality of meat from lambs fed on different diets

The whole seed of sweet lupin var. Multitalia with a protein content higher than 35% and a low content in alkaloids constitutes a good protein source alternative to soybean meal, today deriving for more than 60% from OGM (Genetically Modified Organisms) cultivation. Moreover, the poor national production and the cost of feeds for animals forces the livestock compartment to utilize alternative biomasses the availability of which highly depends on from the environment and the season

Improvement of sheep welfare and milk production fed on diet containing hydroponically germinating seeds.

Plasma cortisol and milk production responses of 45 lactating Comisana sheeps (4th- 5th parity), divided into three homogeneous groups of 15 subject each, were used to evaluate the effects of two different levels of partial substitution of a complete feed with hydroponically germinating seeds. Germinated oat was employed after 7 days of hydroponic growth. The three groups received the following diets: Control group (T) received only complete feed. The other 2 groups were fed on diet containing different levels of hydroponically germinating oat (1,5 kg – group A; 3 kg – group B). All the subjects have shown to accept the diets because the per capita ration was always completely consumed. In the second month, the A and B groups showed lower average values of cortisol (P<0.01) and a statistically significant increase in milk production as compared to T (P<0.05 and P<0.001). The obtained data induced to conclude that integration with hydroponically germinating oat in partial substitution of the complete feed does not modify biochemical and hematological parameters and seems to produce an improvement in animal welfare and production of milk

Going one step further: towards cognitively enhanced problem-solving teaming agents

Operating current advanced production systems, including Cyber-Physical Systems, often requires profound programming skills and configuration knowledge, creating a disconnect between human cognition and system operations. To address this, we suggest developing cognitive algorithms that can simulate and anticipate teaming partners' cognitive processes, enhancing and smoothing collaboration in problem-solving processes. Our proposed solution entails creating a cognitive system that minimizes human cognitive load and stress by developing models reflecting humans individual problem-solving capabilities and potential cognitive states. Further, we aim to devise algorithms that simulate individual decision processes and virtual bargaining procedures that anticipate actions, adjusting the system’s behavior towards efficient goal-oriented outcomes. Future steps include the development of benchmark sets tailored for specific use cases and human-system interactions. We plan to refine and test algorithms for detecting and inferring cognitive states of human partners. This process requires incorporating theoretical approaches and adapting existing algorithms to simulate and predict human cognitive processes of problem-solving with regards to cognitive states. The objective is to develop cognitive and computational models that enable production systems to become equal team members alongside humans in diverse scenarios, paving the way for more efficient, effective goal-oriented solutions

Proceedings of the KI 2009 Workshop on Complex Cognition

The KI ´09 workshop on Complex Cognition was a joint venture of the Cognition group of the Special Interest Group Artificial Intelligence of the German Computer Science Society (Gesellschaft für Informatik) and the German Cognitive Science Association. Dealing with complexity has become one of the great challenges for modern information societies. To reason and decide, plan and act in complex domains is no longer limited to highly specialized professionals in restricted areas such as medical diagnosis, controlling technical processes, or serious game playing. Complexity has reached everyday life and affects people in such mundane activities as buying a train ticket, investing money, or connecting a home desktop to the internet. Research in cognitive AI can contribute to supporting people navigating through the jungle of everyday reasoning, decision making, planning and acting by providing intelligent support technology. Lessons learned from expert systems research of the nineteen-eighties show that the aim should not be to provide for fully automated systems which can solve specialized tasks autonomously but instead to develop interactive assistant systems where user and system work together by taking advantage of the respective strengths of human and machine. To accomplish a smooth collaboration between humans and intelligent systems, basic research in cognition is a necessary precondition. Insights into cognitive structures and processes underlying successful human reasoning and planning can provide suggestions for algorithm design. Even more important, insights into restrictions and typical errors and misconceptions of the cognitive systems provide information about those parts of a complex task from which the human should be relieved. For successful human-computer interaction in complex domains it has, furthermore, to be decided which information should be presented when, in what way, to the user. We strongly believe that symbolic approaches of AI and psychological research of higher cognition are at the core of success for the endeavor to create intelligent assistant system for complex domains. While insight into the neurological processes of the brain and into the realization of basic processes of perception, attention and senso-motoric coordination are important for the basic understanding of the principles of human intelligence, these processes have a much too fine granularity for the design and realization of interactive systems which must communicate with the user on knowledge level. If human system users are not to be incapacitated by a system, system decisions must be transparent for the user and the system must be able to provide explanations for the reasons of its proposals and recommendations. Therefore, even when some of the underlying algorithms are based on statistical or neuronal approaches, the top-level of such systems must be symbolical and rule-based. The papers presented at this workshop on complex cognition give an inspiring and promising overview of current work in the field which can provide first building stones for our endeavor to create knowledge level intelligent assistant systems for complex domains. The topics cover modelling basic cognitive processes, interfacing subsymbolic and symbolic representations, dealing with continuous time, Bayesian identification of problem solving strategies, linguistically inspired methods for assessing complex cognitive processes and complex domains such as recognition of sketches, predicting changes in stocks, spatial information processing, and coping with critical situations

Diet Selection by the Italian Hare (Lepus corsicanus de Winton,1898) in Two Protected Coastal Areas of Latium

Abstract: This study was focused on the diet and feeding behaviour of Lepus corsicanus in two protected coastal areas of Latium, Castelporziano Presidential Estate (CPE) and Circeo National Park (CNP). Plant frequency was assessed by the quadrat method, while diet composition was determined by microhistological analysis of faecal samples. Over the year, the Italian hare fed on 185 of the 229 plant species identified in vegetation, with most of them ingested in low percentages (1%). During the dry season (DS), in both areas, Brachypodium sylvaticum, Cynodon dactylon, and Avena fatua were among the most consumed species. In the wet season (WS) the most common plant species in diet were B. sylvaticum, Poa trivialis, and Carex distachya in CPE and Dactylis glomerata, Cynosurus echinatus, and Spartium junceum in CNP. In both sites, considering the annual selection of life forms, grasses and leguminous forbs were preferred, while non-leguminous forbs and shrubs were used less than expected according to their availability. ANOSIM analysis showed significant differences between sites in DS and WS diets. Our study evidenced that the Italian hare behaved as generalist, revealing its capability for exploiting several plant species and to adapt its diet preferences to space-time variation of food availability